Cash Forecasting
Weekly and monthly cash flow projections are critical to survival management. Pride has no current forecasting capability, making mid-week tactical decisions impossible and creating vulnerability to revenue shocks.
The Survival Threshold
Updated 2026-04-11: Mat O’Keefe revised survival threshold to $25,000–$30,000/week range (meeting 11 Apr 2026). Previous $25,000 figure is the floor; $30,000 accounts for PAYG, super, water, council rates, ASIC fees, and SaaS costs not captured in original breakdown. “I think we need 25,000 to 30,000 a week. And we’re just missing that by heaps.”
Pride must generate $25,000–$30,000/week to cover fixed operating costs:
- Performers & entertainers: ~$4,000/week
- Staff wages: ~$7,000/week
- Security: ~$2,000/week (mandatory liquor licence requirement)
- Stock (alcohol): $6,000–$7,000/week
- Rent: ~$1,700/week
- Other admin/facilities: ~$500/week
- Missing from original breakdown (identified 11 Apr 2026): Water ($2,500 bill outstanding), council rates (few thousand/year), ASIC fees, SaaS subscriptions (Xero, etc.), Westpac loan repayment ($2,315/month), Lumi loan repayment. These omissions partly explain the $25k-to-$30k survival threshold revision.
Total minimum weekly fixed costs: ~$20,700–$21,700
Any week below $25,000–$30,000 (survival threshold) consumes cash reserves. Bad weeks (~$20,000) create immediate pressure on supplier payments, payroll, and performer fees.
Current Information Gap
Problem: Pride has no weekly P&L reporting or cash forecasting system.
- Month-end financial snapshot available only after Xero reconciliation (15–20 days after month end)
- No visibility of weekly cash position until reconciliation complete
- Tuesday (end of operational week) decisions cannot be informed by actual weekly results
- Decision-makers (CEO, Venue Manager) operating on incomplete information
- Inability to detect revenue trends until 3 weeks after the fact
Impact: Delayed response to underperformance. Saturday collapse not caught until reconciliation, losing opportunities for mid-week tactical response.
Revenue Volatility
Weekly Revenue Targets (by trading night)
| Night | Target | Notes |
|---|---|---|
| Wednesday | $1,500 | Low-demand night; break-even only |
| Thursday | $2,500 | Modest demand |
| Friday | $6,000 | Previously reliable; currently cancelled due to underperformance |
| Saturday | $15,000 | Carries the operation; single largest vulnerability |
Historical Performance
- FY23 weekly average: $38,500 (peak performance)
- Current baseline: $25,000–$28,000 (50% decline from FY23)
- Bad weeks: ~$20,000 (survival threshold breached)
- Saturday trend: Historically $20,000+; now frequently ~$10,000 (underperformance of 50%–33%)
- Walk-in trade: Negligible; almost all revenue from pre-sold tickets
Key Variables Affecting Weekly Forecast
- Saturday performer quality & draw: Single largest variable; 50% of weekly revenue
- Ticket pre-sales by Wednesday: Late sales data unavailable until Thursday
- Weather and competing events: External impact on attendance
- Promotion execution: Emily’s event promotion drives ticket sales (lag: 3–7 days)
- Food revenue (post-kitchen): New variable to integrate once kitchen fully operational
- Cancellations and no-shows: Impact on attendance; lag detection by 24 hours
Forecasting Model (Proposed)
Inputs
Daily (updated morning):
- Bank balance (from Xero)
- TryBooking ticket sales pipeline (cumulative by event)
- Square POS sales (prior day)
Weekly (updated Tuesday):
- Performer confirmations and fees for upcoming weekend
- Promotional plan and estimated reach (Emily)
- Historical event comparison (this Saturday vs prior Saturdays)
- Supplier payment schedule and outstanding invoices
Outputs
Rolling 30-day forecast:
- Projected weekly revenue (by night and event)
- Projected weekly costs (performers, labour, stock, rent)
- Projected cash position by end of week
- Risk flags: If projected revenue <$25,000–$30,000, alert level and mitigation options
Scenario analysis (monthly):
- “What if Saturday drops 20%?” — runway visibility
- “What if kitchen generates 15% food revenue?” — impact on breakeven
- “What if we reduce performer cost 10%?” — sensitivity
Decision-Making Applications
Tactical (Weekly)
Tuesday decision point: Based on TryBooking pre-sales data
- Is Saturday tracking to meet $15k target?
- If underperforming: promote or reduce performer cost for flexibility
- If tracking well: confirm performer and staff, increase promotion confidence
Supplier payment scheduling:
- Is cash position sufficient for end-of-week supplier payments?
- Can we pay early to improve supplier relationships, or should we delay?
- What’s the runway if revenue underperforms this week?
Strategic (Monthly)
Cash runway: How many weeks of underperformance can organisation absorb?
- Current: ~2–3 weeks if all $25k thresholds breach
- Strategic goal: 4–6 weeks minimum
Cost baseline adjustment: Is performer cost or security cost sustainable?
- Licence Reclassification would reduce security from $2,000/week to $600–1,200/week
- Kitchen opening affects cost structure (variable food cost vs fixed performer cost)
Capital requirements: Is external funding needed to stabilise cash, or can operational improvement close the gap?
Integration with Humphrey Intelligence App
Humphrey Intelligence App Phase 2 (Weeks 3–4) includes:
- Weekly P&L dashboard (revenue, costs, profit by week)
- Cash forecast dashboard (30-day projection with scenario tools)
- Daily alert system (cash position warnings, revenue variance flags)
- Automated weekly P&L email to leadership every Monday
Key Facts
- Minimum weekly requirement: $25,000–$30,000 to cover all fixed costs (revised upward 11 Apr 2026)
- Current forecasting capability: None. Visibility available only at month-end reconciliation
- Revenue variability: Saturday represents 60% of weekly revenue; primary volatility driver
- Cash runway: ~2–3 weeks if thresholds breach; insufficient for operational resilience
- Late payment cascade: Weak cash forecasting → supplier payment delays → delivery cuts → operational disruption
Debt Serviceability Crisis (April 2026)
Added per Hospitality Debt Restructuring Research.
The Core Problem
Annual debt repayments on the two commercial facilities total approximately $111,000 — likely exceeding the venue’s EBITDA of $80,000–$120,000 (ATO hospitality benchmarks for a ~$1M revenue venue). The Lumi Finance facility alone consumes ~$83,400/year at an implied ~30% APR.
The 35.7% debt-to-revenue ratio ($357k on ~$1M) is at the upper boundary of “moderate/elevated” for hospitality, but the ratio itself is not alarming. The critical concern is cash-flow: the business is likely negative on a structural basis while the Lumi facility is in place.
Insolvency Practitioner Perspective
Practitioners would focus on whether the business is cash-flow positive if the Lumi facility were removed — if yes, the business has a viable core. The use of fintech/MCA-style lending to bridge cash flow is itself a recognised warning sign.
Cash Flow Impact of Restructuring
| Scenario | Annual Debt Service | Cash Flow Impact vs Current |
|---|---|---|
| Current structure | ~$111,000 | Baseline (likely negative) |
| Consolidated at 8.5% / 7yr | ~$44,300 | +$66,700/year freed |
| SBR at 25¢ / 3yr | ~$30,000–$38,000 | +$73,000–$81,000/year freed |
| Post-plan completion | ~$0 | +$111,000/year freed |
Debt restructuring alone could shift the business from cash-flow negative to generating $50,000–$80,000/year in free cash flow. This is the most impactful single lever available.
See Debt Restructuring Options for full pathways and action sequence.
Related Pages
- Trading Pattern — revenue concentration and dependency dynamics
- Financial Reporting — current state of financial visibility and gaps
- Automation Opportunities — systems enabling weekly P&L and cash forecast automation
- Humphrey Intelligence App — technical implementation of forecasting dashboards
- Strategic Plan — capital raise and sustainability strategy informed by forecasting
- Debt Restructuring Options — pathways to resolve serviceability crisis
- Hospitality Debt Restructuring Research — source: serviceability analysis