Air Industries (AIRI) Capital Expenditures (2012 - 2026)
Air Industries' Capital Expenditures came in at $60,000 for Q2 2026, down 93.3% from $896,000 a year earlier and down 85.9% from the prior quarter.
Air Industries (AIRI) Capital Expenditures (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Air Industries reported Capital Expenditures of $1.69 million, down 46.8% year-over-year; for FY2025, it was $3.32 million, up 44.4% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $2.3 million in FY2024 (+8.6%), $2.12 million in FY2023 (-10.2%), $2.36 million in FY2022 (+73.1%) and $1.36 million in FY2021 (-64.1%).
- The Q2 2026 figure represents the lowest quarterly Capital Expenditures since Q2 2019.
- Year-over-year, Capital Expenditures has declined for three consecutive quarters, with growth averaging 145.7% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q1 2025 (growth of 996.4%), and the weakest in Q2 2026 (a decline of 93.3%).
- Business Quant data shows AIRI's Capital Expenditures at $425,000 (Q1 2026), $304,000 (Q4 2025) and $905,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Air Industries | 12.51 Mn | 2.87 Mn | 2.48 Mn | 60,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60,000.00 |
| Mar 31, 2026 | 425,000.00 |
| Dec 31, 2025 | 304,000.00 |
| Sep 30, 2025 | 905,000.00 |
| Jun 30, 2025 | 896,000.00 |
| Mar 31, 2025 | 1.22 Mn |
| Dec 31, 2024 | 801,000.00 |
| Sep 30, 2024 | 269,000.00 |
| Jun 30, 2024 | 1.12 Mn |
| Mar 31, 2024 | 111,000.00 |
| Dec 31, 2023 | 252,000.00 |
| Sep 30, 2023 | 484,000.00 |
| Jun 30, 2023 | 410,000.00 |
| Mar 31, 2023 | 973,000.00 |
| Dec 31, 2022 | 381,000.00 |
| Sep 30, 2022 | 653,000.00 |
| Jun 30, 2022 | 897,000.00 |
| Mar 31, 2022 | 430,000.00 |
| Dec 31, 2021 | 381,000.00 |
| Sep 30, 2021 | 352,000.00 |
Air Industries Capital Expenditures 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=capital-expenditures&ticker=AIRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();