From P&L to Cash: How Pharmaceutical Company Built a Driver-Based Balance Sheet and Cash Forecasting Framework
A company can have a well-established P&L planning process and still lack a reliable view of what that plan means for cash. For this pharmaceutical company, Finance could plan its income statement, but there was no established methodology for translating expected sales, collections, expenses, inventory requirements, and debt obligations into a forward-looking Balance Sheet and cash position. The gap existed even at the spreadsheet level.
The challenge was not a lack of technology. The financial logic itself had not yet been designed. UVID approached the transformation in two stages: first, designing a driver-based Balance Sheet and cash forecasting methodology based on industry practices and the company’s actual operating model; and second, embedding that methodology into the planning environment so the forecast could be generated from underlying business assumptions rather than reconstructed manually. The result was a structured, repeatable capability that connected the company’s operating plan to working capital, liquidity, and future cash requirements.
The Problem
The company needed greater visibility into how its operating plans would translate into future liquidity, but there was no established methodology for making that connection.
The core challenges were:
- No existing Balance Sheet forecasting methodology: The organization could plan its P&L but had no established process—even in Excel—for translating the plan into a reliable forward-looking Balance Sheet and cash position.
- Different working-capital drivers: Sales collections, expense payment timing, inventory policy, and debt obligations behaved differently and required distinct forecasting logic.
- Limited working-capital visibility: Receivables, payables, and inventory could not be reliably projected using a common methodology tied to the underlying business drivers.
- Generic forecasting risk: Using historical ratios or broad assumptions would not adequately reflect customer payment terms, payment patterns, inventory policy, or financing obligations.
- Disconnected debt planning: Loan amortization and financing requirements needed to be considered alongside working-capital movements rather than as a separate calculation.
- No repeatable liquidity outlook: Without an established methodology, the cash position had to be estimated rather than systematically derived from business assumptions.
- Date: August 17, 2026
- Client: Division of a Multi-Billion-Dollar MedTech Company
- Location: North America
- Category: Case Study, Med-Tech
- Website:
The Solution
Designing the Financial Methodology First
UVID first established the financial logic for how the major Balance Sheet components should behave. Industry practices provided the starting point, but the methodology was adapted to the company’s actual operating model—including how it collected from customers, paid expenses, managed inventory, and serviced debt.
Only after the methodology was defined was it embedded into the planning environment. This created the sequence:
Management Intent → Financial Methodology → Business Drivers → Planning Model → Automated Forecast
Accounts Receivable: Connecting Sales to Collections
Accounts Receivable was modeled through customer payment behavior rather than a single generic assumption.
The methodology followed:
Sales → Customer Payment-Term Buckets → Collection Assumptions → AR → Cash Collections
Customer payment terms were organized into 30-, 60-, and 90-day buckets, allowing projected receivables and collections to reflect the expected timing and mix of customer payments. This meant AR was driven by the underlying sales and collection assumptions rather than simply extrapolating historical balances.
Accounts Payable and Other Liabilities: Modeling Payment Behavior
Expenses were not treated as one undifferentiated AP forecast.
The methodology followed:
Expenses → Payment Terms → Payment Timing → AP / Cash
The model separately considered:
- Prepaid expenses
- Accrued expenses
- Quarterly payment patterns such as insurance
- Annual or specific-month obligations such as bonuses
- 30-, 60-, and 90-day payment terms
This created a more realistic view of when expenses would actually translate into cash outflows.
Inventory: Connecting Business Volume to Cash Requirements
Inventory was modeled based on expected future business activity and the organization’s stocking policy rather than simply extrapolating historical balances.
The methodology followed:
COGS → Inventory Policy → Months of Stock on Hand + Safety Stock → Required Inventory → Cash Requirement
This connected projected inventory levels directly to the cash required to support them. As business volume changed, the inventory requirement and associated cash impact could change with it.
Debt and Financing: Connecting Obligations to Liquidity
Debt was modeled independently according to its actual repayment structure.
The methodology followed:
Existing Loans → Amortization Schedule → Principal / Interest Obligations → Financing Requirement / Cash Impact
Loan amortization and financing obligations were therefore incorporated into the same cash outlook as working-capital requirements. This allowed management to consider financing obligations alongside the operational factors influencing liquidity.
Converging the Drivers Into a Cash Outlook
The individual methodologies were brought together into one forward-looking financial view:
Sales & Expenses + Working Capital + Inventory + Debt Obligations → Balance Sheet → Driver-Based Cash Outlook
This created a structured relationship between operating assumptions, Balance Sheet movements, and cash. Instead of manually estimating the future cash position, Finance could derive it from the underlying business drivers.
Business Outcomes
The transformation established a driver-based Balance Sheet and cash forecasting capability where no formal methodology previously existed.
A Defined Balance Sheet Forecasting Methodology
UVID established the financial logic required to forecast AR, AP, inventory, and debt before building the technology around it. The organization therefore gained not simply an automated process, but a defined methodology that could be consistently applied.
Working Capital Linked to Business Drivers
Receivables, payables, and inventory were connected to the operating assumptions that actually influenced them:
Customer Payment Terms → AR
Expense Payment Behavior → AP
Inventory Policy → Inventory Requirement
This created a more meaningful forward-looking view than generic historical ratios.
Debt Integrated Into the Cash Forecast
Loan amortization, principal and interest obligations, and financing requirements were incorporated into the broader liquidity model. Debt was therefore considered alongside working-capital movements rather than through a separate disconnected calculation.
Automated, Repeatable Forecasting
Once the methodology was established, it was built into the planning environment so that the Balance Sheet and cash forecast could be generated from underlying business assumptions on an ongoing basis. The organization no longer needed to reconstruct the forecast manually each cycle.
