Air Industries (AIRI) Depreciation and Depletion (2012 - 2026)
Air Industries' Depreciation and Depletion came in at $715,000 for Q2 2026, up 17.8% from $607,000 a year earlier and up 0.6% from the prior quarter.
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Analysis
Air Industries (AIRI) Depreciation and Depletion (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Air Industries reported Depreciation and Depletion of $2.74 million, up 22.4% year-over-year; for FY2025, it came in at $2.5 million, up 20.6% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $2.07 million in FY2024, $84,000 in FY2023 (-96.7%), $2.52 million in FY2022 (-10.0%) and $2.8 million in FY2021 (+9.1%).
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion since Q4 2019.
- Year-over-year, Depreciation and Depletion has increased for six consecutive quarters, with growth averaging 15.2% over the last seven quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2025 (growth of 27.1%), and the weakest in Q2 2024 (a decline of 18.9%).
- Business Quant data shows AIRI's Depreciation and Depletion at $711,000 (Q1 2026), $685,000 (Q4 2025) and $627,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | - |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Air Industries | 13.19 Mn | 3.55 Mn | 2.48 Mn | 715,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 715,000.00 |
| Mar 31, 2026 | 711,000.00 |
| Dec 31, 2025 | 685,000.00 |
| Sep 30, 2025 | 627,000.00 |
| Jun 30, 2025 | 607,000.00 |
| Mar 31, 2025 | 580,000.00 |
| Dec 31, 2024 | 539,000.00 |
| Sep 30, 2024 | 511,000.00 |
| Jun 30, 2024 | 495,000.00 |
| Mar 31, 2024 | 527,000.00 |
| Dec 31, 2023 | -1.72 Mn |
| Sep 30, 2023 | 614,000.00 |
| Jun 30, 2023 | 610,000.00 |
| Mar 31, 2023 | 604,000.00 |
| Dec 31, 2022 | 616,000.00 |
| Sep 30, 2022 | 598,000.00 |
| Jun 30, 2022 | 643,000.00 |
| Mar 31, 2022 | 665,000.00 |
| Dec 31, 2021 | 698,000.00 |
| Sep 30, 2021 | 688,000.00 |
API Access
Air Industries Depreciation and Depletion 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=depreciation-and-depletion&ticker=AIRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();