QuickFund Online — Detailed Monthly Financial Projections – Year 1
The following tables provide granular monthly projections for Year 1, demonstrating the revenue ramp-up from the beta launch in Month 6 through to full operations by Month 12. These projections reflect the phased launch strategy, with limited beta operations in Months 6–7…
Section 15 · Business Plan
Detailed Monthly Financial Projections – Year 1
The following tables provide granular monthly projections for Year 1, demonstrating the revenue ramp-up from the beta launch in Month 6 through to full operations by Month 12. These projections reflect the phased launch strategy, with limited beta operations in Months 6–7…
15.1 Monthly Revenue Build-Up (Year 1)
The following tables provide granular monthly projections for Year 1, demonstrating the revenue ramp-up from the beta launch in Month 6 through to full operations by Month 12. These projections reflect the phased launch strategy, with limited beta operations in Months 6–7 and progressive scaling through marketing activation and Western Cape expansion from Month 9.
Months 1 through 5 represent the pre-revenue establishment and development phase. Revenue generation commences in Month 6 with the pilot launch (500 beta customers) and scales through to Month 12.
| Revenue Line (R’000) | M7 | M8 | M9 | M10 | M11 | M12 |
|---|---|---|---|---|---|---|
| Loans Disbursed (#) | 420 | 680 | 1,050 | 1,400 | 1,750 | 2,100 |
| Average Loan Size (R) | 2,800 | 2,900 | 3,000 | 3,000 | 3,100 | 3,100 |
| Interest Income | 59 | 99 | 158 | 210 | 271 | 326 |
| Initiation Fees | 63 | 102 | 158 | 210 | 263 | 315 |
| Service Fees | 24 | 39 | 60 | 80 | 100 | 120 |
| Insurance Commissions | 6 | 10 | 16 | 21 | 26 | 32 |
| Other Income | 5 | 8 | 13 | 17 | 22 | 26 |
| Total Monthly Revenue | 157 | 258 | 405 | 538 | 682 | 819 |
15.2 Monthly Operating Expenditure (Year 1)
| Expense Line (R’000) | M7 | M8 | M9 | M10 | M11 | M12 |
|---|---|---|---|---|---|---|
| Salaries & Benefits | 332 | 332 | 345 | 345 | 358 | 358 |
| Marketing & Advertising | 180 | 200 | 220 | 180 | 160 | 150 |
| Technology & Cloud | 70 | 70 | 75 | 75 | 80 | 80 |
| Office & Utilities | 45 | 45 | 45 | 48 | 48 | 48 |
| Professional Fees | 30 | 25 | 25 | 25 | 30 | 35 |
| Credit Losses Provision | 33 | 55 | 88 | 117 | 147 | 176 |
| Other Costs | 25 | 25 | 28 | 28 | 30 | 30 |
| Total Monthly Expenses | 715 | 752 | 826 | 818 | 853 | 877 |
| Monthly EBITDA | -558 | -494 | -421 | -280 | -171 | -58 |
The monthly projections demonstrate a clear trajectory toward operational break-even. The progressive reduction in monthly losses from R558,000 in Month 7 to R58,000 in Month 12 reflects increasing revenue scale, improving operational efficiency, and the benefits of the AI credit scoring engine in managing default rates.
15.3 Monthly Cash Position (Year 1)
The cash position throughout Year 1 is supported by the R20 million capital injection, with the largest cash outflows occurring during the platform development phase (Months 1–6) and initial loan book capitalisation (Months 7–12). The Company maintains a minimum cash buffer of R1.5 million throughout Year 1 to ensure operational resilience.
| Cash Position (R’000) | M7 | M8 | M9 | M10 | M11 | M12 |
|---|---|---|---|---|---|---|
| Opening Cash | 5,200 | 3,800 | 2,900 | 2,200 | 1,800 | 2,100 |
| Cash from Operations | -558 | -494 | -421 | -280 | -171 | -58 |
| Loan Book Cash Outflow | -1,176 | -960 | -1,110 | -1,050 | -1,085 | -1,050 |
| Loan Repayments Received | 334 | 554 | 831 | 930 | 1,156 | 1,308 |
| Financing Activities | 0 | 0 | 0 | 0 | 400 | 500 |
| Closing Cash | 3,800 | 2,900 | 2,200 | 1,800 | 2,100 | 2,800 |
15.4 Loan Portfolio Analysis – Year 1
The following analysis provides a detailed view of the loan portfolio composition and quality metrics throughout Year 1, demonstrating the progressive build-up of the loan book and the effectiveness of the AI credit scoring engine in maintaining portfolio quality:
| Portfolio Metric | Q1 (M1–3) | Q2 (M4–6) | Q3 (M7–9) | Q4 (M10–12) |
|---|---|---|---|---|
| New Loans Disbursed | 0 | 500 (beta) | 2,150 | 5,250 |
| Cumulative Loans | 0 | 500 | 2,650 | 7,900 |
| Gross Loan Book (R’000) | 0 | 1,400 | 6,500 | 12,800 |
| Provision for Bad Debts (%) | N/A | 12% | 10% | 9.5% |
| Net Loan Book (R’000) | 0 | 1,232 | 5,850 | 11,584 |
| Average QuickFund Score | N/A | 520 | 540 | 560 |
| Approval Rate | N/A | 42% | 48% | 52% |
| 30+ Day Default Rate | N/A | N/A | 11% | 9.8% |
The improving portfolio quality metrics reflect the AI credit scoring engine’s ability to learn from actual repayment data and progressively refine its predictive accuracy. The average QuickFund Score of approved applicants increases from 520 in Q2 to 560 in Q4, indicating the model is becoming more selective and accurate in identifying creditworthy borrowers.
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