Air T (AIRT) Long-Term Investments (2015 - 2026)
Air T (AIRT) reported Long-Term Investments of $27.86 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 40.0% from $19.9 million a year earlier and up 6.9% from the prior quarter.
Air T (AIRT) Long-Term Investments (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Air T posted Long-Term Investments of $26.07 million, up 37.2% from FY2025.
- Long-Term Investments has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 42.3% (FY2021 to FY2026).
- By fiscal year, Long-Term Investments came in at $19 million in FY2025 (+14.1%), $16.65 million in FY2024 (+25.9%), $13.23 million in FY2023 (+34.1%) and $9.86 million in FY2022 (+120.4%).
- Five-year quarterly Long-Term Investments spans a low of $5.66 million in fiscal Q2 2022 and a high of $33.58 million in fiscal Q3 2026.
- Year over year, Long-Term Investments has now increased in each of the last 21 quarters, with growth averaging 37.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Long-Term Investments ran from 2.0% in fiscal Q3 2024 to 120.4% in fiscal Q4 2022.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $26.07 million (Q4 2026), $33.58 million (Q3 2026) and $27.87 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 344.46 Bn | 302.98 Bn | 5.02 Bn | 35.95 Bn |
| 2 | Rtx | 265.15 Bn | 233.42 Bn | 5.81 Bn | - |
| 3 | Boeing | 138.50 Bn | 47.45 Bn | 2.17 Bn | 12.19 Bn |
| 4 | Lockheed Martin | 135.29 Bn | 119.53 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 98.06 Bn | 83.30 Bn | 2.25 Bn | - |
| 6 | Motorola Solutions | 86.61 Bn | 83.08 Bn | 1.77 Bn | 292.00 Mn |
| 7 | Howmet Aerospace | 85.96 Bn | 81.71 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 77.12 Bn | 64.58 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 72.18 Bn | 31.69 Bn | 2.02 Bn | 7.27 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 27.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.86 Mn |
| Mar 31, 2026 | 26.07 Mn |
| Dec 31, 2025 | 33.58 Mn |
| Sep 30, 2025 | 27.87 Mn |
| Jun 30, 2025 | 19.90 Mn |
| Mar 31, 2025 | 19.00 Mn |
| Dec 31, 2024 | 18.74 Mn |
| Sep 30, 2024 | 17.59 Mn |
| Jun 30, 2024 | 16.03 Mn |
| Mar 31, 2024 | 16.65 Mn |
| Dec 31, 2023 | 15.04 Mn |
| Sep 30, 2023 | 14.18 Mn |
| Jun 30, 2023 | 13.95 Mn |
| Mar 31, 2023 | 13.23 Mn |
| Dec 31, 2022 | 14.75 Mn |
| Sep 30, 2022 | 11.56 Mn |
| Jun 30, 2022 | 11.09 Mn |
| Mar 31, 2022 | 9.86 Mn |
| Dec 31, 2021 | 8.79 Mn |
| Sep 30, 2021 | 5.66 Mn |
Air T Long-Term Investments 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=long-term-investments&ticker=AIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();