Astronics (ATRO) Change in Inventory (2010 - 2026)
Astronics' Change in Inventory came in at $11.1 million for Q2 2026, up 451.2% from $2.01 million a year earlier but down 32.4% from the prior quarter.
Astronics (ATRO) Change in Inventory (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Astronics reported Change in Inventory of $30.44 million, up 161.2% year-over-year; for FY2025, it was $4.44 million, down 79.4% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of -20.1% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $21.55 million in FY2024 (+62.2%), $13.28 million in FY2023 (-61.0%), $34.06 million in FY2022 (+561.3%) and $5.15 million in FY2021 (-62.2%).
- The five-year range for quarterly Change in Inventory is -$10.74 million (Q4 2023) to $16.4 million (Q1 2026).
- Year-over-year, Change in Inventory increased in two of the last four quarters, with growth averaging 226.2%.
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2024 (growth of 508.3%), and the weakest in Q3 2023 (a decline of 91.4%).
- Business Quant data shows ATRO's Change in Inventory at $16.4 million (Q1 2026), -$2.71 million (Q4 2025) and $5.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 160.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 55.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | -80.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 31.00 Mn |
| 10 | Astronics | 2.43 Bn | 2.38 Bn | 86.90 Mn | 11.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 11.10 Mn |
| Apr 4, 2026 | 16.40 Mn |
| Dec 31, 2025 | -2.71 Mn |
| Sep 27, 2025 | 5.64 Mn |
| Jun 28, 2025 | 2.01 Mn |
| Mar 29, 2025 | -515,000.00 |
| Dec 31, 2024 | 1.72 Mn |
| Sep 28, 2024 | 8.43 Mn |
| Jun 29, 2024 | 2.57 Mn |
| Mar 30, 2024 | 8.83 Mn |
| Dec 31, 2023 | -10.74 Mn |
| Sep 30, 2023 | 1.39 Mn |
| Jul 1, 2023 | 8.78 Mn |
| Apr 1, 2023 | 13.86 Mn |
| Dec 31, 2022 | -1.39 Mn |
| Oct 1, 2022 | 16.15 Mn |
| Jul 2, 2022 | 10.28 Mn |
| Apr 2, 2022 | 9.02 Mn |
| Dec 31, 2021 | 1.90 Mn |
| Oct 2, 2021 | 3.98 Mn |
Astronics Change in Inventory 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=change-in-inventory&ticker=ATRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=ATRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();