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.
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 | 321.31 Bn | 275.31 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Air Industries | 13.19 Mn | 3.55 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_KEY
import 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();