Willis Lease Finance (WLFC) Operating Expenses (2010 - 2026)
Willis Lease Finance's Operating Expenses came in at $160.04 million for Q2 2026, down 4.3% from $167.24 million a year earlier and down 0.3% from the prior quarter.
Powered by 
Analysis
Willis Lease Finance (WLFC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Willis Lease Finance reported Operating Expenses of $645.48 million, up 20.2% year-over-year; for FY2025, it came in at $625.95 million, up 47.3% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $424.83 million in FY2024 (+19.9%), $354.33 million in FY2023 (+17.3%), $302.07 million in FY2022 (+13.6%) and $265.86 million in FY2021 (-3.0%).
- The five-year range for quarterly Operating Expenses is $64.71 million (Q3 2021) to $179.52 million (Q4 2025).
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 33.3%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2025 (growth of 72.3%), and the weakest in Q1 2023 (a decline of 13.2%).
- Business Quant data shows WLFC's Operating Expenses at $160.56 million (Q1 2026), $179.52 million (Q4 2025) and $145.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Willis Lease Finance | 1.11 Bn | 1.11 Bn | - | 160.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.04 Mn |
| Mar 31, 2026 | 160.56 Mn |
| Dec 31, 2025 | 179.52 Mn |
| Sep 30, 2025 | 145.36 Mn |
| Jun 30, 2025 | 167.24 Mn |
| Mar 31, 2025 | 133.83 Mn |
| Dec 31, 2024 | 123.40 Mn |
| Sep 30, 2024 | 112.52 Mn |
| Jun 30, 2024 | 97.04 Mn |
| Mar 31, 2024 | 91.87 Mn |
| Dec 31, 2023 | 97.50 Mn |
| Sep 30, 2023 | 85.75 Mn |
| Jun 30, 2023 | 89.55 Mn |
| Mar 31, 2023 | 81.54 Mn |
| Dec 31, 2022 | 71.41 Mn |
| Sep 30, 2022 | 68.15 Mn |
| Jun 30, 2022 | 68.59 Mn |
| Mar 31, 2022 | 93.92 Mn |
| Dec 31, 2021 | 71.21 Mn |
| Sep 30, 2021 | 64.71 Mn |
API Access
Willis Lease Finance Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=WLFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WLFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=WLFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();