Astronics (ATRO) Total Liabilities (2010 - 2026)
Astronics (ATRO) reported Total Liabilities of $562.62 million for Q2 2026, up 50.0% from $375.12 million a year earlier but down 3.9% from the prior quarter.
Astronics (ATRO) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Astronics posted Total Liabilities of $566.6 million, up 44.3% from FY2024.
- Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $392.67 million in FY2024 (+2.2%), $384.27 million in FY2023 (+2.4%), $375.11 million in FY2022 (+6.4%) and $352.53 million in FY2021 (+0.9%).
- Five-year quarterly Total Liabilities spans a low of $328.39 million in Q1 2022 and a high of $585.44 million in Q1 2026.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 23.7% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 50.0%); the low point was Q2 2024 (a decline of 8.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $585.44 million (Q1 2026), $566.6 million (Q4 2025) and $573.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Astronics | 2.44 Bn | 2.39 Bn | 86.90 Mn | 562.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 562.62 Mn |
| Apr 4, 2026 | 585.44 Mn |
| Dec 31, 2025 | 566.60 Mn |
| Sep 27, 2025 | 573.29 Mn |
| Jun 28, 2025 | 375.12 Mn |
| Mar 29, 2025 | 395.49 Mn |
| Dec 31, 2024 | 392.67 Mn |
| Sep 28, 2024 | 402.39 Mn |
| Jun 29, 2024 | 386.98 Mn |
| Mar 30, 2024 | 378.24 Mn |
| Dec 31, 2023 | 384.27 Mn |
| Sep 30, 2023 | 398.46 Mn |
| Jul 1, 2023 | 423.19 Mn |
| Apr 1, 2023 | 377.48 Mn |
| Dec 31, 2022 | 375.11 Mn |
| Oct 1, 2022 | 361.80 Mn |
| Jul 2, 2022 | 331.61 Mn |
| Apr 2, 2022 | 328.39 Mn |
| Dec 31, 2021 | 352.53 Mn |
| Oct 2, 2021 | 358.65 Mn |
Astronics Total Liabilities 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=total-liabilities&ticker=ATRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ATRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();