This section presents the full three-statement financial plan. The methodology preserves the sponsor’s operating case for revenue, gross profit and EBITDA and independently re-derives all financing and tax items to produce a defensible set of projections in which the balance sheet reconciles to zero in every year. As a start-up, the plan is characterised by an early J-curve and a rapidly scaling revenue base.
13.1 Key assumptions
|
Assumption |
Basis |
|---|---|
|
Revenue |
Sponsor operating case: R28m→R285m (~79% CAGR, preserved) |
|
Gross margin |
25.0%→27.4% as procurement scale and mix build (preserved) |
|
EBITDA |
Sponsor case: R2m→R46m; margin 7%→16% (preserved) |
|
Depreciation |
Componentised on store/hub/fleet/tech base; ~R3m→R9m p.a. |
|
Development finance |
R15m at 13.5%; 2-yr grace then amortising |
|
Corporate tax |
27% (SA CIT) with assessed-loss carry-forward |
|
Working capital |
DSO 2d, DIO 26d, DPO 32d → favourable ~−4-day cycle |
|
Rent |
~5% of revenue (township occupancy), within opex/EBITDA |
|
Dividends |
None until Year 4; coverage-gated thereafter |
|
Prime / repo |
10.5% / 7.0% (mid-2026) |
Table 13.1 Principal modelling assumptions.
13.2 Funding structure & sources / uses
The Company is raising R48m, comprising R28m of investor equity, R5m of founder capital and R15m of development finance. The uses fund the Phase-1 store fit-outs, distribution hub, logistics fleet, technology, opening inventory, working capital and launch marketing.
|
Uses of funds |
R m |
Share |
|---|---|---|
|
Store fit-outs |
R16 |
33% |
|
Inventory |
R10 |
21% |
|
Distribution hub |
R7 |
15% |
|
Logistics fleet |
R5 |
10% |
|
Working capital |
R5 |
10% |
|
Technology systems |
R3 |
6% |
|
Marketing launch |
R1 |
2% |
|
Contingency |
R1 |
2% |
|
Total uses |
R48 |
100% |
Table 13.2 Detailed uses of funds.
13.3 Projected income statement
|
R million |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
|---|---|---|---|---|---|
|
Revenue |
R28 |
R62 |
R118 |
R192 |
R285 |
|
Cost of goods sold |
(R21) |
(R46) |
(R87) |
(R140) |
(R207) |
|
Gross profit |
R7 |
R16 |
R31 |
R52 |
R78 |
|
Gross margin |
25.0% |
25.8% |
26.3% |
27.1% |
27.4% |
|
Operating expenses |
(R5) |
(R10) |
(R17) |
(R22) |
(R32) |
|
EBITDA |
R2 |
R6 |
R14 |
R30 |
R46 |
|
EBITDA margin |
7.1% |
9.7% |
11.9% |
15.6% |
16.1% |
|
Depreciation |
(R3) |
(R6) |
(R7) |
(R8) |
(R9) |
|
EBIT |
(R1) |
R0 |
R7 |
R22 |
R38 |
|
Net interest |
(R0) |
(R1) |
(R2) |
(R1) |
(R0) |
|
Profit before tax |
(R1) |
(R1) |
R6 |
R21 |
R37 |
|
Tax |
R0 |
R0 |
(R1) |
(R6) |
(R10) |
|
Net profit (re-underwritten) |
(R1) |
(R1) |
R5 |
R15 |
R27 |
|
Net profit (sponsor) |
(R1) |
R2 |
R7 |
R18 |
R29 |
Table 13.3 Projected income statement, re-underwritten basis (with sponsor net profit for comparison).
The re-underwriting adjustment
The chart below isolates the key analytical adjustment: the gap between the sponsor’s net profit and the re-underwritten figure once full depreciation on the store-rollout asset base, cash interest and tax are applied.
Key findingUnderwrite to a deeper, longer J-curve
The sponsor projects net profit of R2m in Year 2 and R7m in Year 3. Applying full componentised depreciation (R3m–R9m p.a.) on the store, hub, fleet and technology base, the re-underwritten model shows a net loss persisting into Year 2 (R-1.3m) and profit of R4.9m in Year 3, lower than the sponsor throughout the ramp, converging by Year 5 (R27m vs R29m).
This is the single most important adjustment for an investor: the business is a genuine start-up with a real J-curve, and the funding and expectations must be set to a longer path to profitability than the headline sponsor figures imply. The credit and equity cases below are built on the re-derived numbers.
13.4 Projected balance sheet
|
R million |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
|---|---|---|---|---|---|
|
Net PP&E |
R29 |
R30 |
R37 |
R42 |
R43 |
|
Inventory |
R2 |
R3 |
R6 |
R10 |
R15 |
|
Trade receivables |
R0 |
R0 |
R1 |
R1 |
R2 |
|
Cash & equivalents |
R19 |
R17 |
R11 |
R14 |
R23 |
|
Total assets |
R49 |
R50 |
R54 |
R67 |
R82 |
|
Trade payables |
R2 |
R4 |
R8 |
R12 |
R18 |
|
Development finance |
R15 |
R15 |
R10 |
R5 |
R0 |
|
Deferred tax |
R0 |
R1 |
R1 |
R2 |
R2 |
|
Equity |
R32 |
R31 |
R36 |
R48 |
R62 |
|
Total equity & liabilities |
R49 |
R50 |
R54 |
R67 |
R82 |
|
Balance check |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
Table 13.4 Projected balance sheet. The balance check confirms assets equal equity plus liabilities (nil difference) in every year.
13.5 Projected cash-flow statement
|
R million |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
|---|---|---|---|---|---|
|
Cash from operations |
R2 |
R5 |
R12 |
R24 |
R37 |
|
Cash from investing |
(R31) |
(R8) |
(R13) |
(R13) |
(R10) |
|
Cash from financing |
R0 |
R0 |
(R5) |
(R8) |
(R18) |
|
Net change in cash |
(R29) |
(R2) |
(R6) |
R3 |
R9 |
|
Closing cash |
R19 |
R17 |
R11 |
R14 |
R23 |
Table 13.5 Projected cash-flow statement.
StrengthThe raise carries the business through the J-curve
Despite early operating losses, modelled cash remains positive throughout, the R48m raise, the favourable cash-conversion cycle, and the two-year development-finance grace period together fund the ramp without additional capital. From Year 3 the business is cash-generative, funding the Phase-2/3 rollout internally. This adequacy of funding through the J-curve is the single most important test for a start-up, and the model passes it.
13.6 Break-even & unit economics
The network is EBITDA-positive from Year 1 and turns net-profit-positive in Year 3 on the re-underwritten basis, once enough stores mature to cover the fixed cost base and depreciation. Store-level economics improve materially with maturity as footfall, basket size and the digital-services mix build.
|
Metric |
Basis |
|---|---|
|
Standard store size |
40–80 m² |
|
SKUs per store |
1,200–2,000 |
|
Staff per store |
4–6 |
|
Blended gross margin |
25–27% |
|
EBITDA margin (mature) |
~16% |
|
Cash-conversion cycle |
~−4 days (favourable) |
|
Payback period |
4–5 years |
Table 13.6 Unit economics summary.
13.7 Debt service, coverage & the retail lens
|
Coverage metric |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
|---|---|---|---|---|---|
|
CFADS (R m) |
R2 |
R5 |
R12 |
R22 |
R33 |
|
Debt service (R m) |
R2 |
R2 |
R7 |
R6 |
R6 |
|
DSCR |
0.85x |
2.70x |
1.70x |
3.50x |
5.81x |
|
FCCR (rent-inclusive) |
0.91x |
1.67x |
1.45x |
2.36x |
2.88x |
|
Gross debt / EBITDA |
7.50x |
2.50x |
0.71x |
0.17x |
0.00x |
Table 13.7 Debt-service and fixed-charge coverage. Proposed structure: development finance with a 2-year interest-only grace period; FCCR building above 1.0x from Year 2.
Key findingStructure the debt for the ramp, not the steady state
In Year 1, DSCR (0.85x) and FCCR (0.91x) sit just below 1.0x, the arithmetic reality of a start-up whose EBITDA has not yet scaled. This is not a weakness in the business; it is why the development finance must (and does) carry a two-year interest-only grace period.
From Year 2 onwards, coverage strengthens rapidly (FCCR 1.67x rising to 2.88x) as EBITDA scales and the modest R15m facility amortises. A lender should size and structure to the ramp, grace period, modest quantum, development-finance risk appetite, rather than to the Year-1 snapshot.
13.8 Scenario & sensitivity analysis
|
Scenario |
Assumptions |
Year-5 revenue |
Year-5 EBITDA |
|---|---|---|---|
|
Upside |
+8% revenue, +1.5pp margin |
R308m |
R54m |
|
Base |
Sponsor operating case |
R285m |
R46m |
|
Downside |
−12% revenue, −2.5pp margin |
R251m |
R34m |
Table 13.8 Scenario summary.
Analyst flagMargin, ramp and shrinkage dominate the sensitivities
Net profit is most sensitive to gross margin and the revenue ramp, and, distinctively for township retail, to shrinkage. A one-point deterioration in gross margin or a slower store ramp has a larger effect than interest-rate or rent movements. Diligence should concentrate on procurement discipline, the realism of the ramp, and above all the shrinkage-control systems.
13.9 Returns & valuation
The investor commits R28m for an approximately 60% initial stake. Reflecting the likelihood of a follow-on funding round to accelerate the rollout, the analysis assumes dilution to an effective ~48% stake at a five-year exit.
|
Returns metric |
Base (4.5x exit) |
Conservative (3.5x exit) |
|---|---|---|
|
Equity IRR (5-yr) |
33% |
28% |
|
Money multiple (MOIC) |
4.2x |
3.4x |
|
Exit equity value |
R230m |
R184m |
|
Investor exit proceeds |
R110m |
R88m |
Table 13.9 Equity returns under base and conservative exit assumptions.
Key findingAttractive returns, but genuinely high-risk and execution-dependent
The base case delivers a ~33% IRR and 4.2x MOIC; the conservative case ~28% and 3.4x. These bracket the sponsor’s 25–32% / 3.8x target and are attractive for the risk taken.
However, these are start-up returns: they depend on the store ramp delivering, shrinkage being controlled, and an exit at a credible township-retail multiple. The wide gap between success and failure is real. Investors should size the position to a high-risk, high-return venture profile and treat the shrinkage-control and ramp evidence as the decisive diligence items.
13.10 Store-cohort economics
The store network drives the entire revenue and margin trajectory, and its economics follow a maturation curve. A new store ramps over its first 18–24 months as it builds footfall, basket size and the digital-services habit; it is EBITDA-positive relatively quickly but reaches full contribution only at maturity. Because the plan rolls out stores in phased clusters rather than all at once, the network always blends maturing and mature stores, which is why the blended EBITDA margin climbs steadily from 7% toward 16% rather than stepping up immediately.
|
Store maturity |
Revenue vs mature |
Contribution |
Status |
|---|---|---|---|
|
Months 0–12 (ramp) |
45–65% |
Low; covering fixed costs |
Building footfall & trust |
|
Months 12–24 (maturing) |
70–90% |
Positive & rising |
Digital & loyalty building |
|
Year 3+ (mature) |
100% |
Full store margin |
Steady high-frequency base |
Table 13.10 Illustrative store-cohort maturation.
Analyst flagThe margin build depends on ramp discipline
The smooth 7%→16% EBITDA-margin path assumes new stores mature on schedule and that the rollout pace is matched to management’s capacity to open and stabilise stores well. Opening too fast would load the network with immature, margin-dilutive stores and deepen the early losses; opening too slowly would forgo growth. Disciplined, cluster-based rollout at a controlled cadence is therefore central to delivering the modelled margin curve, and, together with shrinkage, the key operational metric to monitor.
13.11 Base-case KPI dashboard
|
KPI |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
|---|---|---|---|---|---|
|
Revenue growth |
— |
121% |
90% |
63% |
48% |
|
Gross margin |
25.0% |
25.8% |
26.3% |
27.1% |
27.4% |
|
EBITDA margin |
7.1% |
9.7% |
11.9% |
15.6% |
16.1% |
|
Net margin |
-3.6% |
-2.1% |
4.2% |
8.0% |
9.5% |
|
Stores (period-end) |
10 |
14 |
20 |
26 |
30 |
|
Revenue / store (R m) |
2.8 |
4.4 |
5.9 |
7.4 |
9.5 |
|
FCCR (rent-incl.) |
0.91x |
1.67x |
1.45x |
2.36x |
2.88x |
|
Closing cash (R m) |
R19 |
R17 |
R11 |
R14 |
R23 |
Table 13.11 Base-case key performance indicators. Revenue per store reflects the blended maturity of the network in each year.