Willis Lease Finance (WLFC) Retained Earnings (2010 - 2026)
Willis Lease Finance's Retained Earnings came in at $637.03 million for Q2 2026, up 13.3% from $562.12 million a year earlier and up 4.2% from the prior quarter.
Willis Lease Finance (WLFC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Willis Lease Finance's Retained Earnings was $590.79 million, up 20.2% from FY2024.
- Retained Earnings has increased in each of the last four years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $491.44 million in FY2024 (+23.5%), $397.78 million in FY2023 (+11.3%), $357.49 million in FY2022 (+0.6%) and $355.39 million in FY2021 (unchanged).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for 15 consecutive quarters, with growth averaging 21.1% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q2 2025 (growth of 24.3%), and the weakest in Q1 2022 (a decline of 5.6%).
- Business Quant data shows WLFC's Retained Earnings at $611.33 million (Q1 2026), $590.79 million (Q4 2025) and $583.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 55.96 Bn |
| 10 | Willis Lease Finance | 1.07 Bn | 1.07 Bn | - | 637.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 637.03 Mn |
| Mar 31, 2026 | 611.33 Mn |
| Dec 31, 2025 | 590.79 Mn |
| Sep 30, 2025 | 583.09 Mn |
| Jun 30, 2025 | 562.12 Mn |
| Mar 31, 2025 | 505.08 Mn |
| Dec 31, 2024 | 491.44 Mn |
| Sep 30, 2024 | 473.61 Mn |
| Jun 30, 2024 | 452.26 Mn |
| Mar 31, 2024 | 417.74 Mn |
| Dec 31, 2023 | 397.78 Mn |
| Sep 30, 2023 | 387.74 Mn |
| Jun 30, 2023 | 373.97 Mn |
| Mar 31, 2023 | 360.98 Mn |
| Dec 31, 2022 | 357.49 Mn |
| Sep 30, 2022 | 343.99 Mn |
| Jun 30, 2022 | 338.44 Mn |
| Mar 31, 2022 | 333.37 Mn |
| Dec 31, 2021 | 355.39 Mn |
| Sep 30, 2021 | 354.49 Mn |
Willis Lease Finance Retained Earnings 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=retained-earnings&ticker=WLFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WLFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();