Air T (AIRT) Operating Leases (2019 - 2026)
Air T (AIRT) recorded Operating Leases of $14.55 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 28.9% from $11.29 million a year earlier and up 19.4% from the prior quarter.
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Analysis
Air T (AIRT) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T reported Operating Leases of $12.19 million, up 2.9% from FY2025.
- Annual Operating Leases has a five-year compound annual growth rate of 11.5% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $11.84 million in FY2025 (+12.6%), $10.52 million in FY2024 (-2.4%), $10.77 million in FY2023 (+59.9%) and $6.73 million in FY2022 (-4.8%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has increased for three consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 84.7% in fiscal Q3 2024, against a decline of 17.3% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.19 million (Q4 2026), $12.83 million (Q3 2026) and $10.67 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 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 |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | Air T | 76.20 Mn | -3.43 Mn | 70.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.55 Mn |
| Mar 31, 2026 | 12.19 Mn |
| Dec 31, 2025 | 12.83 Mn |
| Sep 30, 2025 | 10.67 Mn |
| Jun 30, 2025 | 11.29 Mn |
| Mar 31, 2025 | 11.84 Mn |
| Dec 31, 2024 | 12.27 Mn |
| Sep 30, 2024 | 12.89 Mn |
| Jun 30, 2024 | 11.96 Mn |
| Mar 31, 2024 | 10.52 Mn |
| Dec 31, 2023 | 10.94 Mn |
| Sep 30, 2023 | 11.02 Mn |
| Jun 30, 2023 | 11.01 Mn |
| Mar 31, 2023 | 10.77 Mn |
| Dec 31, 2022 | 5.93 Mn |
| Sep 30, 2022 | 6.21 Mn |
| Jun 30, 2022 | 6.42 Mn |
| Mar 31, 2022 | 6.73 Mn |
| Dec 31, 2021 | 6.56 Mn |
| Sep 30, 2021 | 7.05 Mn |
API Access
Air T 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=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AIRT", "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=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();