Aar (AIR) Operating Leases (2019 - 2026)
Aar (AIR) reported Operating Leases of $98.8 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 26.8% from $77.9 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Aar (AIR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Aar posted Operating Leases of $101.1 million, up 27.0% from FY2025.
- Operating Leases has a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- By fiscal year, Operating Leases came in at $79.6 million in FY2025 (-0.9%), $80.3 million in FY2024 (+66.6%), $48.2 million in FY2023 (-16.0%) and $57.4 million in FY2022 (-4.2%).
- Five-year quarterly Operating Leases spans a low of $48.2 million in fiscal Q4 2023 and a high of $101.1 million in fiscal Q4 2026.
- Year over year, Operating Leases has now increased in each of the last four quarters, with growth averaging 12.9% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q4 2024 (growth of 66.6%); the low point was fiscal Q4 2023 (a decline of 16.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $101.1 million (Q4 2026), $91.4 million (Q3 2026) and $91.6 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn |
| 10 | Aar | 3.95 Bn | 3.61 Bn | 176.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 98.80 Mn |
| May 31, 2026 | 101.10 Mn |
| Feb 28, 2026 | 91.40 Mn |
| Nov 30, 2025 | 91.60 Mn |
| Aug 31, 2025 | 77.90 Mn |
| May 31, 2025 | 79.60 Mn |
| Feb 28, 2025 | 67.60 Mn |
| Nov 30, 2024 | 78.00 Mn |
| Aug 31, 2024 | 78.90 Mn |
| May 31, 2024 | 80.30 Mn |
| Feb 29, 2024 | 73.00 Mn |
| Nov 30, 2023 | 73.20 Mn |
| Aug 31, 2023 | 51.50 Mn |
| May 31, 2023 | 48.20 Mn |
| Feb 28, 2023 | 52.00 Mn |
| Nov 30, 2022 | 51.90 Mn |
| Aug 31, 2022 | 54.30 Mn |
| May 31, 2022 | 57.40 Mn |
| Feb 28, 2022 | 57.90 Mn |
| Nov 30, 2021 | 60.50 Mn |
API Access
Aar Operating Leases 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-leases&ticker=AIR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AIR", "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-leases&ticker=AIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();