Astronics (ATRO) Operating Leases (2019 - 2026)
Astronics (ATRO) posted Operating Leases of $36.72 million for Q2 2026, up 16.6% from $31.49 million a year earlier but down 4.0% from the prior quarter.
Astronics (ATRO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Astronics' Operating Leases came in at $38.1 million, up 85.8% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In prior years, Astronics' Operating Leases was $20.51 million in FY2024 (-15.9%), $24.38 million in FY2023 (+145.2%), $9.94 million in FY2022 (-17.3%) and $12.02 million in FY2021 (-27.8%).
- Quarterly Operating Leases has run from a low of $8.96 million in Q1 2023 to a high of $39.35 million in Q3 2025 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last six quarters, with growth averaging 31.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2024, with growth of 164.1%; the weakest was Q1 2022, with a decline of 28.9%.
- According to Business Quant data, Operating Leases for the three prior quarters was $38.24 million (Q1 2026), $38.1 million (Q4 2025) and $39.35 million (Q3 2025).
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 | Astronics | 2.44 Bn | 2.39 Bn | 86.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 36.72 Mn |
| Apr 4, 2026 | 38.24 Mn |
| Dec 31, 2025 | 38.10 Mn |
| Sep 27, 2025 | 39.35 Mn |
| Jun 28, 2025 | 31.49 Mn |
| Mar 29, 2025 | 30.84 Mn |
| Dec 31, 2024 | 20.51 Mn |
| Sep 28, 2024 | 21.41 Mn |
| Jun 29, 2024 | 22.42 Mn |
| Mar 30, 2024 | 23.68 Mn |
| Dec 31, 2023 | 24.38 Mn |
| Sep 30, 2023 | 25.03 Mn |
| Jul 1, 2023 | 26.08 Mn |
| Apr 1, 2023 | 8.96 Mn |
| Dec 31, 2022 | 9.94 Mn |
| Oct 1, 2022 | 10.97 Mn |
| Jul 2, 2022 | 11.98 Mn |
| Apr 2, 2022 | 10.96 Mn |
| Dec 31, 2021 | 12.02 Mn |
| Oct 2, 2021 | 13.31 Mn |
Astronics 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=ATRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "ATRO", "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=ATRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();