Airline Fuel & Debt Stress Lab
Explore how oil prices, ticket yields, load factors, and debt terms interact to make or break a low-cost carrier's finances. Move the levers and watch the margin evolve in real time.
How the model works
The simulator computes annual financials for a generic low-cost carrier using industry-standard relationships. All calculations run locally in your browser—no data leaves your device.
Revenue model
Annual ASMs = fleet × stage length (km) × 0.621371 × daily utilization (11 hrs) × 365 × seats per aircraft (180) × load factor. Revenue = ASMs × yield. This captures the volume–yield tradeoff central to LCC economics.
Fuel cost model
Jet fuel price ≈ oil price × 0.32 + $0.45/gal (refining + logistics). Fuel burn per ASM ≈ 0.012 gal/ASM for A320neo-class at 1,200 km stage; scales with stage length0.85. Fuel cost = ASMs × burn × price.
Non-fuel OpEx
Ownership, maintenance, crew, airport, distribution, and overhead ≈ 4.2¢/ASM base, scaling with stage length-0.15 (shorter stages = more cycles = higher non-fuel unit cost). This is CASM ex-fuel.
Debt service
Annual interest = total debt × interest rate. Principal amortization is excluded (interest-only view) to isolate the carry cost. DSCR = EBITDAR / interest expense. DSCR > 2.0 = healthy; 1.0–2.0 = strained; < 1.0 = critical.
Key insight from the AirAsia case: When oil approaches $100/bbl, fuel alone can consume 35–45% of revenue for a carrier with ~8.5¢ yield. If debt carries 11% interest on $1B, that's $110M/year before any principal repayment—roughly 8–10% of revenue. The combined squeeze leaves almost no buffer for shocks.
What "refinancing" actually changes
Dropping the rate from 11% to 6% on $1B saves $50M/year in interest. That's meaningful but not transformative if fuel is simultaneously eating an extra $200M+ from an oil spike. The model shows both levers together.
Limitations & assumptions
No hedging, no ancillary revenue, no tax, no capex, no principal repayment, fixed 180-seat fleet, fixed 11-hr utilization. Real airlines hedge 30–60% of fuel, earn 15–25% from ancillaries, and have complex debt maturity profiles. Treat this as a directional stress test, not a forecast.
Export
The report downloads a JSON file with all inputs, computed annual figures, per-ASM breakdown, and the regime classification. Use it to compare scenarios or feed into your own models.