Willis Lease Finance (WLFC) Return on Sales [ROS] (2010 - 2026)
Willis Lease Finance (WLFC) posted Return on Sales [ROS] of 17.51% for Q2 2026, up 3.05 percentage points from 14.46% a year earlier and up 0.13 percentage points from the prior quarter.
Willis Lease Finance (WLFC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Willis Lease Finance was 15.66%, down 2.01 percentage points year-over-year; for FY2025, it came in at 14.28%, down 11.09 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +9.19 percentage points (FY2020 to FY2025).
- In prior years, Willis Lease Finance's Return on Sales [ROS] was 25.37% in FY2024 (+10.02 pp), 15.34% in FY2023 (+12.18 pp), 3.16% in FY2022 (+0.12 pp) and 3.04% in FY2021 (-2.05 pp).
- Quarterly Return on Sales [ROS] has run from a low of -36.48% in Q1 2022 to a high of 35.78% in Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -3.67 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2023, with a gain of 45.41 percentage points; the weakest was Q1 2022, with a drop of 34.56 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 17.39% (Q1 2026), 7.28% (Q4 2025) and 20.73% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | -46.33% |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 11.38% |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 0.64% |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 12.36% |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 27.92% |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 10.36% |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 25.82% |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 10.08% |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 18.37% |
| 10 | Willis Lease Finance | 965.65 Mn | 967.39 Mn | - | 17.51% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.51% |
| Mar 31, 2026 | 17.39% |
| Dec 31, 2025 | 7.28% |
| Sep 30, 2025 | 20.73% |
| Jun 30, 2025 | 14.46% |
| Mar 31, 2025 | 15.15% |
| Dec 31, 2024 | 19.24% |
| Sep 30, 2024 | 23.05% |
| Jun 30, 2024 | 35.78% |
| Mar 31, 2024 | 22.86% |
| Dec 31, 2023 | 14.69% |
| Sep 30, 2023 | 18.91% |
| Jun 30, 2023 | 17.84% |
| Mar 31, 2023 | 8.93% |
| Dec 31, 2022 | 18.98% |
| Sep 30, 2022 | 11.37% |
| Jun 30, 2022 | 12.15% |
| Mar 31, 2022 | -36.48% |
| Dec 31, 2021 | 6.07% |
| Sep 30, 2021 | 8.60% |
Willis Lease Finance Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=WLFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=WLFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();