Willis Lease Finance (WLFC) Selling, General & Administrative (2009 - 2026)
Analysis
Willis Lease Finance (WLFC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 1.71 Bn |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 1.11 Bn |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 1.92 Bn |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | - |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | 1.20 Bn |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 722.00 Mn |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 504.00 Mn |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 120.00 Mn |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 1.08 Bn |
| 10 | Willis Lease Finance | 967.32 Mn | 907.62 Mn | 155.25 Mn | 48.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.73 Mn |
| Jun 30, 2026 | 55.56 Mn |
| Mar 31, 2026 | 56.60 Mn |
| Dec 31, 2025 | 47.40 Mn |
| Sep 30, 2025 | 49.19 Mn |
| Jun 30, 2025 | 50.43 Mn |
| Mar 31, 2025 | 47.72 Mn |
| Dec 31, 2024 | 42.45 Mn |
| Sep 30, 2024 | 40.04 Mn |
| Jun 30, 2024 | 34.69 Mn |
| Mar 31, 2024 | 29.58 Mn |
| Dec 31, 2023 | 29.64 Mn |
| Sep 30, 2023 | 26.55 Mn |
| Jun 30, 2023 | 31.73 Mn |
| Mar 31, 2023 | 27.83 Mn |
| Dec 31, 2022 | 25.71 Mn |
| Sep 30, 2022 | 22.79 Mn |
| Jun 30, 2022 | 20.43 Mn |
| Mar 31, 2022 | 23.61 Mn |
| Dec 31, 2021 | 21.04 Mn |
API Access
Willis Lease Finance Selling, General & Administrative 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=selling-general-and-administrative&ticker=WLFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WLFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();