Astronics (ATRO) Operating Expenses (2010 - 2026)
Astronics (ATRO) recorded Operating Expenses of $46.43 million in Q2 2026, down 3.4% from $48.07 million a year earlier and down 3.1% from the prior quarter.
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Analysis
Astronics (ATRO) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Astronics' Operating Expenses came in at $180.32 million as of Jul 4, 2026, up 16.4% year-over-year; for FY2025, it was $28.21 million, down 4.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -23.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $29.65 million in FY2024 (+33.0%), $22.29 million in FY2023 (+3.0%), $21.65 million in FY2022 (-78.1%) and $99.05 million in FY2021 (-10.4%).
- Quarterly Operating Expenses has ranged from $6.72 million in Q1 2025 to $53.26 million in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in four of the last eight quarters, with growth averaging 83.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 613.2% in Q1 2026, against a decline of 73.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $47.9 million (Q1 2026), $44.53 million (Q4 2025) and $41.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 2.35 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 | 156.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Astronics | 2.44 Bn | 2.39 Bn | 86.90 Mn | 46.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 46.43 Mn |
| Apr 4, 2026 | 47.90 Mn |
| Dec 31, 2025 | 44.53 Mn |
| Sep 27, 2025 | 41.46 Mn |
| Jun 28, 2025 | 48.07 Mn |
| Mar 29, 2025 | 6.72 Mn |
| Dec 31, 2024 | 53.26 Mn |
| Sep 28, 2024 | 46.87 Mn |
| Jun 29, 2024 | 48.02 Mn |
| Mar 30, 2024 | 7.79 Mn |
| Dec 31, 2023 | 32.19 Mn |
| Sep 30, 2023 | 35.10 Mn |
| Jul 1, 2023 | 30.30 Mn |
| Apr 1, 2023 | 29.88 Mn |
| Dec 31, 2022 | 24.68 Mn |
| Oct 1, 2022 | 28.70 Mn |
| Jul 2, 2022 | 24.11 Mn |
| Apr 2, 2022 | 24.10 Mn |
| Dec 31, 2021 | 32.22 Mn |
| Oct 2, 2021 | 21.73 Mn |
API Access
Astronics Operating Expenses 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-expenses&ticker=ATRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=ATRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();