AeroVironment (AVAV) Operating Leases (2019 - 2026)
AeroVironment (AVAV) reported Operating Leases of $102.94 million for fiscal Q1 2027 (quarter ended Aug 1, 2026), up 18.0% from $87.25 million a year earlier and up 16.7% from the prior quarter.
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Analysis
AeroVironment (AVAV) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), AeroVironment posted Operating Leases of $88.23 million, up 270.5% from FY2025.
- Operating Leases has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 35.8% (FY2021 to FY2026).
- By fiscal year, Operating Leases came in at $23.81 million in FY2025 (+4.7%), $22.75 million in FY2024 (+7.3%), $21.19 million in FY2023 (-3.3%) and $21.92 million in FY2022 (+14.7%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year over year, Operating Leases has now increased in each of the last ten quarters, with growth averaging 136.1% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q1 2026 (growth of 313.8%); the low point was fiscal Q1 2023 (a decline of 11.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $88.23 million (Q4 2026), $82.57 million (Q3 2026) and $84.31 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 | AeroVironment | 7.48 Bn | 5.09 Bn | 124.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 102.94 Mn |
| Apr 30, 2026 | 88.23 Mn |
| Jan 31, 2026 | 82.57 Mn |
| Nov 1, 2025 | 84.31 Mn |
| Aug 2, 2025 | 87.25 Mn |
| Apr 30, 2025 | 23.81 Mn |
| Jan 25, 2025 | 24.82 Mn |
| Oct 26, 2024 | 25.69 Mn |
| Jul 27, 2024 | 21.09 Mn |
| Apr 30, 2024 | 22.75 Mn |
| Jan 27, 2024 | 21.98 Mn |
| Oct 28, 2023 | 23.73 Mn |
| Jul 29, 2023 | 19.45 Mn |
| Apr 30, 2023 | 21.19 Mn |
| Jan 28, 2023 | 22.63 Mn |
| Oct 29, 2022 | 20.04 Mn |
| Jul 30, 2022 | 20.37 Mn |
| Apr 30, 2022 | 21.92 Mn |
| Jan 29, 2022 | 20.68 Mn |
| Oct 30, 2021 | 21.67 Mn |
API Access
AeroVironment 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=AVAV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AVAV", "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=AVAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();