Air Industries (AIRI) Other Accumulated Expenses (2015 - 2025)
Air Industries' Other Accumulated Expenses came in at $375,000 for Q4 2025, down 47.6% from $716,000 a year earlier.
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Analysis
Air Industries (AIRI) Other Accumulated Expenses (2015 - 2025) Analysis & Trends
Going back to Q4 2015, Air Industries' Other Accumulated Expenses data covers 15 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $716,000 in FY2024 (+178.6%), $257,000 in FY2023 (-39.7%), $426,000 in FY2022 (-37.9%) and $686,000 in FY2021 (+71.5%).
- The Q4 2025 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 343.38 Bn | 301.90 Bn | 5.02 Bn |
| 2 | Rtx | 261.65 Bn | 229.92 Bn | 5.81 Bn |
| 3 | Boeing | 138.42 Bn | 47.38 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 133.43 Bn | 117.66 Bn | 2.44 Bn |
| 5 | General Dynamics | 97.07 Bn | 82.30 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 86.19 Bn | 82.66 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 85.28 Bn | 81.03 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 75.85 Bn | 63.30 Bn | 2.35 Bn |
| 9 | Honeywell International | 72.01 Bn | 31.52 Bn | 2.02 Bn |
| 10 | Air Industries | 13.68 Mn | 4.04 Mn | 2.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 375,000.00 |
| Dec 31, 2024 | 716,000.00 |
| Dec 31, 2023 | 257,000.00 |
| Sep 30, 2023 | 854,000.00 |
| Jun 30, 2023 | 828,000.00 |
| Mar 31, 2023 | 803,000.00 |
| Dec 31, 2022 | 426,000.00 |
| Sep 30, 2022 | 754,000.00 |
| Dec 31, 2021 | 686,000.00 |
| Dec 31, 2020 | 400,000.00 |
| Dec 31, 2019 | 294,000.00 |
| Dec 31, 2018 | 1.27 Mn |
| Sep 30, 2018 | 1.27 Mn |
| Jun 30, 2018 | 1.27 Mn |
| Dec 31, 2015 | 49,000.00 |
API Access
Air Industries Other Accumulated 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=other-accumulated-expenses&ticker=AIRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "AIRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();