Air Industries (AIRI) Cash & Equivalents (2011 - 2026)
Air Industries (AIRI) posted Cash & Equivalents of $4.62 million for Q2 2026, up 812.0% from $507,000 a year earlier.
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Analysis
Air Industries (AIRI) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Air Industries' Cash & Equivalents came in at $4.61 million, up 512.2% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Air Industries' Cash & Equivalents was $753,000 in FY2024 (+117.6%), $346,000 in FY2023 (+23.1%), $281,000 in FY2022 (-55.2%) and $627,000 in FY2021 (-75.0%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q4 2011.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 183.4% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2026, with growth of 812.0%; the weakest was Q1 2024, with a decline of 80.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $286,000 (Q1 2026), $4.61 million (Q4 2025) and $126,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 342.09 Bn | 300.61 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 261.54 Bn | 229.81 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 139.57 Bn | 48.53 Bn | 2.17 Bn | 9.50 Bn |
| 4 | Lockheed Martin | 132.47 Bn | 116.70 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 96.88 Bn | 82.11 Bn | 2.25 Bn | 4.40 Bn |
| 6 | Motorola Solutions | 86.04 Bn | 82.50 Bn | 1.77 Bn | 774.00 Mn |
| 7 | Howmet Aerospace | 84.03 Bn | 79.78 Bn | 1.00 Bn | 507.00 Mn |
| 8 | Northrop Grumman | 75.18 Bn | 62.64 Bn | 2.35 Bn | 3.74 Bn |
| 9 | Honeywell International | 71.24 Bn | 30.75 Bn | 2.02 Bn | 5.69 Bn |
| 10 | Air Industries | 13.66 Mn | 4.01 Mn | 2.48 Mn | 4.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.62 Mn |
| Mar 31, 2026 | 286,000.00 |
| Dec 31, 2025 | 4.61 Mn |
| Sep 30, 2025 | 126,000.00 |
| Jun 30, 2025 | 507,000.00 |
| Mar 31, 2025 | 285,000.00 |
| Dec 31, 2024 | 753,000.00 |
| Sep 30, 2024 | 186,000.00 |
| Jun 30, 2024 | 247,000.00 |
| Mar 31, 2024 | 225,000.00 |
| Dec 31, 2023 | 346,000.00 |
| Sep 30, 2023 | 740,000.00 |
| Jun 30, 2023 | 837,000.00 |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 281,000.00 |
| Sep 30, 2022 | 192,000.00 |
| Jun 30, 2022 | 930,000.00 |
| Mar 31, 2022 | 364,000.00 |
| Dec 31, 2021 | 627,000.00 |
| Sep 30, 2021 | 692,000.00 |
API Access
Air Industries Cash & Equivalents 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=cash-and-equivalents&ticker=AIRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AIRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();