Air T (AIRT) Cash & Equivalents (2010 - 2026)
Air T (AIRT) recorded Cash & Equivalents of $16.67 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 15.3% from $14.46 million a year earlier but down 18.0% from the prior quarter.
Air T (AIRT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T reported Cash & Equivalents of $20.33 million, up 242.8% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 13.1% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $5.93 million in FY2025 (-16.5%), $7.1 million in FY2024 (+22.3%), $5.81 million in FY2023 (+3.4%) and $5.62 million in FY2022 (-48.9%).
- Quarterly Cash & Equivalents has ranged from $2.47 million in fiscal Q2 2022 to $37.37 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for five consecutive quarters, with growth averaging 114.5% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 312.0% in fiscal Q3 2025, against a decline of 94.1% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $20.33 million (Q4 2026), $37.37 million (Q3 2026) and $17.46 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 344.32 Bn | 302.84 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 264.74 Bn | 233.01 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 138.76 Bn | 47.72 Bn | 2.17 Bn | 9.50 Bn |
| 4 | Lockheed Martin | 135.58 Bn | 119.82 Bn | 2.44 Bn | 5.96 Bn |
| 5 | General Dynamics | 97.92 Bn | 83.15 Bn | 2.25 Bn | 4.40 Bn |
| 6 | Motorola Solutions | 86.49 Bn | 82.95 Bn | 1.77 Bn | 774.00 Mn |
| 7 | Howmet Aerospace | 86.21 Bn | 81.96 Bn | 1.00 Bn | 507.00 Mn |
| 8 | Northrop Grumman | 77.20 Bn | 64.66 Bn | 2.35 Bn | 3.74 Bn |
| 9 | Honeywell International | 72.22 Bn | 31.73 Bn | 2.02 Bn | 5.69 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 16.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.67 Mn |
| Mar 31, 2026 | 20.33 Mn |
| Dec 31, 2025 | 37.37 Mn |
| Sep 30, 2025 | 17.46 Mn |
| Jun 30, 2025 | 14.46 Mn |
| Mar 31, 2025 | 5.93 Mn |
| Dec 31, 2024 | 18.46 Mn |
| Sep 30, 2024 | 8.61 Mn |
| Jun 30, 2024 | 7.82 Mn |
| Mar 31, 2024 | 7.10 Mn |
| Dec 31, 2023 | 4.48 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 5.66 Mn |
| Mar 31, 2023 | 5.81 Mn |
| Dec 31, 2022 | 4.75 Mn |
| Sep 30, 2022 | 7.07 Mn |
| Jun 30, 2022 | 7.21 Mn |
| Mar 31, 2022 | 5.62 Mn |
| Dec 31, 2021 | 2.58 Mn |
| Sep 30, 2021 | 2.47 Mn |
Air T 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=AIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "AIRT", "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=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();