Dairy Project DSCR & Loan Repayment Capacity – Complete Guide for Bank Loan

Key Takeaways

• Dairy Project DSCR (Debt Service Coverage Ratio) measures whether a dairy processing plant’s projected cash accrual is sufficient to repay its term loan – both principal and interest – on time. A DSCR greater than 1.0 indicates that a project generates more cash than needed for debt obligations.
• Banks do not evaluate only profitability. They analyse year-wise DSCR, average DSCR, financial projections, cash flow statements and the proposed loan repayment schedule before sanctioning a dairy project bank loan. Banks require CMA data for loans above ₹10 lakh.
• DSCR for a dairy plant project is shaped by project cost, means of finance, capacity utilisation, product mix, working capital, moratorium period and loan tenure. Feed and fodder costs alone typically account for 60% to 70% of operating expenses in dairy projects, directly affecting cash accrual.
• This article provides a practical CA-level walkthrough of dairy plant DSCR calculation, year-wise DSCR, sensitivity analysis and genuine methods to improve weak DSCR in a bank-ready project report.
• All guidance is written from the perspective of CA Manish Gugliya, a practising Chartered Accountant preparing DPRs, CMA data and dairy processing plant project finance proposals for Indian banks.

Introduction – Why Dairy Project DSCR Matters for Bank Loans

Consider a 2026 dairy processing plant proposal projecting annual revenue of ₹18 crore and net profit of ₹1.2 crore from Year 3 onwards. On paper, it looks profitable. But when the lending bank computes year-wise DSCR, the first three years show ratios below 1.15 – meaning projected cash generation barely covers the annual loan instalment. The proposal gets sent back for restructuring. This scenario plays out more often than most dairy entrepreneurs expect.

The gap between accounting profit and cash available to pay term loan instalments is where Debt Service Coverage Ratio becomes critical. Profit on the P&L statement includes non-cash items like depreciation, and it does not directly tell you whether the business can write a cheque for next month’s principal and interest. DSCR bridges that gap – it converts projected profitability into a measure of actual loan repayment capacity.

A dairy processing plant involves substantial capital components: land and building, processing machinery, milk chilling units, refrigeration, utilities infrastructure, and working capital margin for daily milk procurement. All of these are funded through a mix of term loan and promoter contribution. Dairy farm loans can fund purchasing cows and equipment for farm-level operations, while larger integrated dairy plants require structured project finance. The total project cost determines the loan amount, and the loan amount determines what the project must generate in annual cash surplus to stay current on repayments.

Dairy plants carry high fixed costs – power, refrigeration, staff salaries, milk procurement logistics – regardless of capacity utilisation. Their ability to service bank loans depends on stable daily milk throughput, a viable product mix, and defendable operating margins. Dairy plant bank loan DSCR is therefore a key metric in dairy processing plant bank loan appraisal, though it is not the only sanction criterion.

What Is DSCR in a Dairy Project?

DSCR in a dairy project is the ratio of cash available for servicing debt to the total debt obligations (interest plus principal) in a given year. It answers a simple question: for every rupee of loan instalment due this year, how many rupees of cash does the project generate?

This is different from standard profitability ratios. Return on sales or gross margin tells you how much profit the dairy plant earns per litre of milk processed. DSCR focuses on repayment capacity – whether that profit, after adjusting for non-cash expenses and tax, translates into enough cash to meet scheduled debt payments.

Key terminology for dairy project DSCR:

• Cash accrual: Profit After Tax (PAT) + Depreciation + other non-cash charges. Depreciation is added back in cash flow calculations since it is not a cash expense.
• Total debt service: Interest on term loan + scheduled principal repayment for that year. Total debt service includes principal repayment and interest payments.
• Annual DSCR: Computed for each specific year of the loan tenure.
• Average DSCR: Computed over the full repayment period to provide an overall coverage indicator.

DSCR for a dairy plant project is computed year-wise over the full repayment period because milk procurement volumes, capacity utilisation and margins evolve as the plant stabilises. Different banks and financial institutions may use slightly different formats or adjustments, so borrowers should always confirm the exact DSCR presentation format with the lending bank.

Dairy Project DSCR Formula and Key Components

The standard formula used in many Indian bank appraisals for dairy project debt service coverage ratio is:

DSCR = (PAT + Depreciation + Term Loan Interest + Other Non-Cash Charges) ÷ (Term Loan Principal Repayment + Term Loan Interest)

Cash flow available for debt service is derived from total operational revenues minus operational expenses, with depreciation and interest added back to arrive at actual cash generation. DSCR is essentially calculated as net operating income divided by total annual debt service.

Each component in the dairy plant context:

• Profit After Tax (PAT): Derived from the projected P&L of the dairy processing business after all operating expenses, depreciation, interest and taxation.
• Depreciation: Charged on dairy processing plant machinery and equipment cost, buildings and utilities. It reduces reported profit but does not consume cash – hence it is added back.
• Term loan interest: As per the sanctioned rate and drawdown schedule, not estimated EMI interest.
• Principal repayment: As per the proposed repayment schedule agreed with the bank.

Some banks start from PAT, others from Profit Before Interest and Tax, but logically both approaches arrive at cash available for debt service divided by debt service obligations. The numerator captures total cash generation; the denominator captures what the bank needs to receive.

For robust projections, DSCR should be calculated from integrated dairy processing plant financial projections where the P&L, cash flow and term loan schedules are fully aligned.

Dairy Plant DSCR Calculation – Practical Numerical Example

Consider an illustrative 1 LLPD (lakh litres per day) milk processing plant in India commencing commercial operations in FY 2026–27, with a total project cost of ₹12 crore and a term loan of ₹8 crore. Here is a simplified DSCR calculation for Year 3:

Component	Amount (₹ Crore)
Profit After Tax (PAT)	1.10
Add: Depreciation	0.90
Add: Term Loan Interest	0.80
Cash Available for Debt Service	2.80
Term Loan Interest	0.80
Principal Repayment	1.20
Total Debt Service	2.00
DSCR	1.40

A DSCR of 1.40 means the project generates ₹1.40 of cash for every ₹1.00 of debt obligation. Similarly, a DSCR of 1.25 means income covers 125% of debt obligations. These figures are purely illustrative – actual values depend on plant size, utilisation, interest rate, milk procurement economics and selling prices.

Full dairy processing plant financial projections with year-wise DSCR are usually prepared for 7–10 years matching the term loan tenure. A project report must include financial projections for 5 years at minimum.

Year-Wise DSCR Calculation for Dairy Projects

Banks rarely rely on a single-year dairy project DSCR. They evaluate DSCR year-wise over the entire loan tenure. Individual-year DSCR assessments are crucial due to variability in dairy income and expenses across the ramp-up period.

An illustrative 5-year DSCR pattern for a dairy processing plant:

Year	Capacity Utilisation	PAT (₹ Cr)	Depreciation (₹ Cr)	Interest (₹ Cr)	Principal (₹ Cr)	Cash for Debt Service (₹ Cr)	Total Debt Service (₹ Cr)	DSCR
1	45%	0.25	0.95	0.88	0.80	2.08	1.68	1.24
2	60%	0.65	0.90	0.80	1.00	2.35	1.80	1.31
3	75%	1.10	0.90	0.72	1.10	2.72	1.82	1.49
4	80%	1.40	0.85	0.60	1.15	2.85	1.75	1.63
5	85%	1.65	0.80	0.48	1.20	2.93	1.68	1.74

DSCR is weaker in Year 1 because milk procurement networks are still stabilising, distributor channels are being built, and power and refrigeration costs remain high even at partial capacity. As utilisation improves and principal outstanding reduces, DSCR strengthens materially.

Average DSCR for Dairy Project – How Banks Look at It

Average DSCR is an overall coverage indicator across the full loan tenure. It is usually calculated as:

(Sum of cash available for debt service over all years) ÷ (Sum of debt service obligations over all years)

This differs from a simple arithmetic average of yearly DSCRs. For dairy projects, banks typically seek an average DSCR between 1.33 and 2.0, depending on the scale, sponsor profile and industry risk. A model dairy products DPR shows an average DSCR of approximately 2.80 over six years, while a bulk milk cooling unit project shows an average of approximately 2.06 over eight years.

Even if average DSCR looks comfortable at 1.50 or higher, banks still scrutinise individual years where annual DSCR dips below comfort levels. In a bank-ready project report, both year-wise DSCR and overall average DSCR should be shown clearly, with commentary explaining any temporarily weak years.

What Is an Acceptable DSCR for a Dairy Processing Plant?

No single DSCR benchmark applies universally. Each lender has its own internal policies, risk appetite and scheme-specific norms. However, as general appraisal references:

• Banks require a minimum DSCR of 1.25 for dairy loans in most term-loan appraisals.
• A healthy dairy DSCR typically ranges from 1.25 to 1.50.
• A DSCR above 1.50 is considered strong for loan approval. A strong DSCR usually indicates a bankable profile for dairy projects.
• A DSCR below 1.0 means the project cannot cover its debt obligations from projected cash – this typically guarantees loan rejection.

Factors that influence what DSCR a dairy plant lender may accept include the size of the dairy project, quality of collateral, stability of milk procurement in the command area, strength of the integrated dairy plant revenue model and product mix, and the tenor of the term loan.

Before finalising dairy plant DSCR calculation in DPRs, promoters should confirm broad expectations with the concerned bank branch or credit officer.

How Banks Assess Dairy Project Loan Repayment Capacity

DSCR for a dairy plant project is one ratio within a complete bank appraisal framework that also covers technical feasibility, market risk, promoter track record and financial projections. The appraisal typically follows this flow:

• Review of dairy plant project cost and means of finance – how the total project cost is split between term loan, promoter contribution and any government subsidy.
• Assessment of projected profitability and cash flow from the detailed project report DPR.
• Evaluation of term loan repayment capacity via DSCR and related financial ratios.

Banks use the projected P&L, cash flow statement, projected balance sheet and fund flow to derive PAT, depreciation, interest and principal for DSCR analysis. Realistic capacity utilisation and pricing assumptions are critical – ideally aligned with dairy plant capacity planning studies and local milk production data.

Banks also verify the dairy plant working capital requirement to ensure that day-to-day operations can be financed without straining cash available for term-loan instalments. Credit officers often compare projections with similar dairy projects, scheme guidelines, and may apply stress analysis before sanctioning.

Factors Affecting Dairy Project DSCR

Structural factors:

• Total project cost and the proportion funded by term loan versus equity. The integrated dairy processing plant setup cost in India directly determines the loan amount and annual debt burden.
• Debt-equity ratio – higher promoter contribution means lower debt service obligations and stronger DSCR.
• Interest rate – even a 1% increase meaningfully raises annual interest cost. AHIDF provides a 3% interest subvention for dairy processing projects, which can significantly improve DSCR.

Operating factors:

• Milk production volume and pricing are critical factors affecting DSCR for dairy projects. Fluctuations in milk prices affect revenue predictability for dairy operations.
• Capacity utilisation ramp-up assumptions.
• Product mix as per the dairy plant revenue model.
• Feed and fodder costs, which typically account for 60% to 70% of operating expenses.
• Veterinary and herd health costs can spike due to disease outbreaks, impacting cash flows unexpectedly. Veterinary expenses must be budgeted conservatively.

Cost-side drivers:

• Dairy plant utilities requirements including power, steam, water and refrigeration.
• Employee costs, packaging, transportation and distribution.
• Working capital interest cost, which reduces net cash accrual.
• Regulatory compliance costs influence net income for dairy businesses and must be factored in.

Accounting factors:

• Depreciation method (SLM vs WDV) affects PAT and therefore cash accrual.
• Taxation regime affects PAT. Some dairy projects enjoy nil tax in early years, boosting DSCR temporarily.

Impact of Capacity Utilisation on DSCR

Capacity utilisation assumptions directly control revenue, EBITDA, cash accrual and DSCR. Consider a dairy plant with identical costs at three utilisation levels:

• Conservative (50% steady): Revenue covers fixed costs but leaves thin margin for debt service. DSCR hovers around 1.10–1.20.
• Base case (60% ramping to 80%): Revenue growth absorbs fixed overheads progressively. DSCR moves from 1.25 to 1.50+ over the tenure.
• Optimistic (90%+ from Year 1): Shows strong DSCR on paper but is rarely achievable. Banks typically question such assumptions.

Fixed overheads like refrigeration, power and staff salaries spread over more litres of processed bulk milk at higher utilisation, improving unit margins and DSCR. Lenders prefer conservative yet realistic assumptions supported by dairy plant capacity planning and local milk availability data rather than aspirational figures.

Impact of Product Mix on Loan Repayment Capacity

A dairy plant focusing only on liquid milk may have lower margins but faster cash conversion through direct retail and local distribution. A diversified mix including curd, paneer, butter, ghee and flavoured milk can provide higher gross margins but requires longer inventory holding and credit periods.

Dairy project DSCR depends not only on gross margin percentage but on actual cash generated after accounting for working capital tied up in finished goods and credit sales to distributors. Shifting 10–15% of volume from low-margin liquid milk to value-added products can meaningfully improve cash accrual and DSCR – provided the market supports those products and the plant has adequate cold chain infrastructure.

Readers can refer to the integrated dairy plant revenue model and product mix for detailed product-wise revenue and margin structures.

Impact of Working Capital on DSCR

The working-capital cycle of a dairy processing plant runs daily: milk procurement from farmers or collection centres, processing, storage, distribution, milk sales to retailers and eventual cash realisation. Kisan Credit Card provides working capital for dairy farming at low rates, addressing farm-level cash needs, but the processing plant itself requires structured working capital limits.

Underestimating dairy plant working capital requirement can lead to cash crunch, delayed payments to dairy farmers, and diversion of term loan funds – all of which weaken effective DSCR. Interest on working capital limits (cash credit, overdraft) reduces net cash accrual available for term loan servicing. A working capital loan must be separately assessed and should not cannibalise term loan cash flows.

A robust DPR should align the working capital assessment with projected sales volume and credit terms so that banks can judge repayment capacity accurately.

Term Loan Repayment Schedule, Moratorium and DSCR

A typical term loan for a dairy processing plant involves drawdown during construction, a grace period (moratorium) during implementation and stabilisation, followed by regular instalments over 7–10 years. DIDF scheme guidelines permit term loans up to 10 years including a moratorium of up to 2 years.

The dairy project moratorium period delays principal repayment but not necessarily interest servicing. This can improve early-year DSCR by reducing debt service obligations during the ramp-up phase.

Repayment structures matter:

• Equal principal instalments: Higher total payment early, declining over time. Early DSCR may be lower.
• Equated EMI: Smoother annual obligations but higher interest component initially.
• Stepped-up repayments: Lower payments early, increasing later as cash accrual grows. Aligns well with dairy plant ramp-up.

The loan repayment schedule in a dairy project report for bank loan should be presented year-wise alongside DSCR so bankers can verify that obligations are comfortably covered in every year.

DSCR vs Other Financial Ratios in Dairy Project Appraisal

Ratio	What It Measures	Relevance to Dairy Project Loan
DSCR	Cash available to cover principal + interest	Primary measure of term loan repayment capacity
Debt-Equity Ratio	Financial leverage (debt vs owner’s funds)	Indicates how much risk promoters share vs lenders
Interest Coverage Ratio	EBIT relative to interest only	Shows ability to cover interest but ignores principal

Break-even analysis (the break even point at which the plant covers fixed and variable operating expenses) complements DSCR by showing when the dairy plant becomes operationally viable. But operating break-even does not automatically imply adequate capacity to repay loans – a plant may break even yet generate insufficient surplus for principal repayment.

Banks typically examine all these ratios together along with the balance sheet, cash flow statement, bank statements and the internal rate of return.

Sensitivity Analysis of Dairy Project DSCR

Sensitivity analysis tests how dairy project DSCR reacts to adverse changes. Typical scenarios relevant to dairy plants:

• 10% increase in raw milk procurement price (milk price volatility is a major risk)
• 5–10% reduction in average selling price of milk and products
• Slower capacity ramp-up (50%, 60%, 70% instead of 60%, 75%, 85%)
• 1–2% increase in interest rate on term loan
• Longer receivable period increasing working capital interest

Scenario	Base DSCR (Year 3)	Stressed DSCR (Year 3)
Base case	1.40	–
Milk cost +10%	–	1.18
Selling price -7%	–	1.15
Utilisation 60% instead of 75%	–	1.12
Interest rate +1.5%	–	1.30

Lenders often run such stress tests internally. Entrepreneurs should pre-emptively model sensitivity analysis and present it in their detailed project report to demonstrate awareness of risks.

How to Improve DSCR in a Dairy Project (Without Manipulating Numbers)

Project cost and financing:

• Optimise project cost by avoiding unnecessary capex on non-critical items. Review dairy plant land and building requirements and consider whether shed construction or cattle sheds need phased investment.
• Increase promoter contribution to reduce debt quantum. Many government schemes require minimum promoter equity of 10–25%.
• Explore available government scheme benefits: NABARD’s Dairy Entrepreneurship Development Scheme offers 25% capital subsidy, PMEGP offers 15–35% subsidy on dairy projects up to ₹50 lakh, and AHIDF provides interest subvention.

Financing structure:

• Select an appropriate loan tenure so that annual principal aligns with expected cash accrual.
• Consider a realistic moratorium aligned with construction and stabilisation timelines.
• Leverage interest subvention under schemes like the National Livestock Mission or state-level dairy entrepreneurship development scheme to reduce effective interest burden.

Operational levers:

• Improve capacity utilisation through robust dairy plant milk collection and procurement infrastructure.
• Enhance margins via careful product mix selection, optimising daily milk yield processing and controlling utility costs.
• Manage calf sales, direct retail channels and institutional supply contracts for stable revenue.

Working capital improvements:

• Optimise inventory levels of finished goods.
• Tighten receivable collections from institutional buyers and farmer producer organisations.
• Ensure adequate working capital limits – Mudra loans for dairy farming can reach up to ₹10 lakh without collateral for smaller operations, while Mudra loans for dairy farms range from ₹50,001 to ₹5 lakh under the Shishu and Kishore categories.

Projections in a dairy processing plant DPR must remain realistic and defensible. Deliberately inflating utilisation or selling prices to achieve a target DSCR is risky and frequently detected during bank appraisal.

Common Mistakes in Dairy Project DSCR Calculation

Revenue and utilisation errors:

• Assuming 80–90% capacity utilisation from Year 1 instead of a gradual ramp-up
• Ignoring stabilisation-period losses in initial months of dairy farming operations

DSCR-specific mistakes:

• Excluding working capital interest from operating expenses when deriving PAT
• Misaligning the principal repayment schedule in DSCR with the actual proposed bank schedule
• Forgetting to add back depreciation to compute cash accrual

Taxation errors:

• Ignoring income tax impact entirely when projecting PAT
• Applying flat tax rates without considering the applicable regime

Structural issues:

• Calculating only overall average DSCR and ignoring years where DSCR falls below 1.0
• Not performing any sensitivity analysis under adverse scenarios
• Presenting financial statements that do not reconcile across P&L, cash flow and loan schedules

Avoiding these mistakes improves the credibility of a dairy plant DPR. A well-structured DPR can save 2–6 weeks of processing time at the bank level.

DSCR in Dairy Project Report / DPR for Bank Loan

A professional dairy processing plant DPR typically covers the project background and promoter profile (including basic details and land ownership or lease agreement), dairy plant infrastructure, machinery cost, dairy plant project cost and means of finance, and detailed financial projections. A dairy farm project report is mandatory for loans above ₹1 lakh, and a dairy farm project report includes 14 mandatory sections.

DSCR for dairy plant project is normally presented in a dedicated “Financial Viability” or “Ratio Analysis” section with:

• A year-wise table for the full term loan tenure
• A short narrative interpreting DSCR trends and any temporarily weak years
• Consistency with projected P&L (for PAT), cash flow statement (for cash accrual), and term loan repayment schedule (for principal and interest)

For larger dairy processing projects, banks and each financial institution expect DSCR to be integrated with break-even analysis, IRR, NPV and sensitivity analysis. Banks also examine the projected balance sheet and fund flow alongside DSCR. The loan project report should present the business plan comprehensively – from market assessment to financial viability – so that the loan account can be appraised end to end.

India is the world’s largest milk producer, and the dairy processing sector attracts significant financial assistance through schemes managed by the Department of Animal Husbandry. Dairy entrepreneurs pursuing larger projects often benefit from government subsidies channelled through NABARD, cooperative bank networks, and SC/ST-specific provisions under various state schemes. Canara Bank and other PSU banks actively finance dairy farming projects under priority sector lending. The eligibility criteria vary by scheme and lender.

Practical CA Perspective on Dairy Project DSCR (By CA Manish Gugliya)

In my practice preparing dairy processing plant DPRs, the focus is always on building realistic operational assumptions first – plant capacity and technology, milk availability and procurement price trends, the revenue model and product mix, and utility and labour cost benchmarks for the chosen location. Only after these are grounded do we finalise the dairy plant project cost and means of finance, and then compute DSCR from coherent financial projections.

Banks often question big jumps in utilisation or margins. They probe when DSCR improves significantly after a couple of years without clear operational reasoning. They verify whether projections reconcile across the P&L, cash flow and loan schedules. A project report DPR where the repayment schedule does not match what appears in the DSCR table will face immediate questions.

I advise dairy entrepreneurs to treat DSCR as a diagnostic tool that reflects the strength of their project design and financial structure – not as a number to be back-solved simply to meet a perceived approval benchmark. When the underlying dairy farm business economics are sound, the DSCR follows naturally.

Frequently Asked Questions on Dairy Project DSCR

These FAQs address practical queries that arise when preparing dairy processing plant DPRs and interacting with banks about DSCR and repayment capacity.

What is DSCR in a dairy project and why is it important for banks?

DSCR is the ratio of cash available for debt service to annual principal-plus-interest obligations for a dairy processing plant. Debt Service Coverage Ratio measures a dairy project’s ability to service its debt from its own cash generation.

Banks use dairy project DSCR to judge whether projected cash flows from milk processing and value-added dairy products will be sufficient to repay the proposed term loan. Dairy plants are capital-intensive with tight operating margins, so lenders want evidence that the project can service its bank loan even under moderately adverse conditions.

How is average DSCR for a dairy plant calculated in practice?

Average DSCR is usually calculated by summing cash available for debt service over all projected years and dividing by the sum of principal plus interest over the same period. Some analysts compute a simple arithmetic average of annual DSCRs, but banks typically focus on cumulative coverage and whether any single year’s DSCR is critically low.

When preparing a dairy project report for bank loan, show both year-wise DSCR and overall average DSCR with short commentary on trends and weak years.

Does a longer loan tenure always improve Dairy Project DSCR?

A longer term loan tenure reduces annual principal repayment, which can improve year-wise DSCR – especially during early years when utilisation is ramping up. However, a longer repayment period increases total interest outgo, so the decision should balance DSCR comfort against overall borrowing cost.

Banks may have scheme-specific maximum tenures for dairy processing plant term loans. The proposed loan tenure must fit within those limits.

Can a dairy project with low DSCR in the first 2–3 years still be viable?

Yes, provided DSCR improves satisfactorily thereafter, the project has adequate working capital, and promoters can support early shortfalls if required. Lenders examine minimum annual DSCR, the overall trend and promoter strength rather than rejecting a project solely because first-year DSCR is 1.20 instead of 1.40.

Where early-year DSCR is weak, the DPR should clearly explain the reason – ramp-up, marketing, procurement stabilisation – and consider whether repayment schedule adjustments can smooth the DSCR profile. DSCR must be at least 1.25 for loan approval in most mainstream bank appraisals.

Is DSCR required in every dairy processing plant DPR submitted to banks?

For formal dairy project bank loans, especially term loans above small-ticket thresholds, DSCR is almost always required. Banks expect it alongside the projected profit and loss account, cash flow statement, and loan repayment schedule. Including well-structured dairy project DSCR tables signals professionalism and accelerates the appraisal process. NABARD DEDS provides a 25% back-end capital subsidy for dairy farms, and even subsidised-loan proposals require comprehensive financial ratios including DSCR.

Conclusion – Using Dairy Project DSCR to Build a Bankable Dairy Plant

Dairy project DSCR is a practical test of whether a dairy processing plant’s projected cash accrual can comfortably meet its annual term loan principal and interest obligations. The logical chain that determines bankability is clear:

Project Cost → Financing Structure (debt–equity) → Capacity Utilisation & Product Mix → Profitability → Cash Accrual → Debt Service → DSCR → Loan Repayment Capacity

Strong DSCR flows from sound project design, realistic assumptions and prudent term loan structuring – not from artificially adjusting projections to hit a target ratio. Entrepreneurs, consultants and finance professionals working on dairy processing plant DPRs should invest time in robust financial projections, sensible repayment schedules, and clear DSCR disclosure.

A well-analysed dairy project DSCR, backed by coherent financials and realistic dairy industry assumptions, significantly enhances the credibility of any bank loan proposal for a dairy processing project. If you are preparing a dairy plant DPR for bank finance, build your DSCR from the ground up – starting with milk availability, plant economics and operating costs – and let the ratio reflect the genuine strength of your project.