Air T (AIRT) Acquisitions (2016 - 2026)
Air T (AIRT) recorded Acquisitions of $19.18 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 841.4% from $2.04 million a year earlier and up 331.1% from the prior quarter.
Air T (AIRT) Acquisitions (2016 - 2026) Analysis & Trends
On a TTM basis, Air T's Acquisitions came in at $32.39 million as of Jun 30, 2026, up 257.3% year-over-year; for FY2026 (ended Mar 31, 2026), it was $15.25 million, up 117.0% from FY2025.
- Annual Acquisitions has increased for three straight fiscal years, with a five-year compound annual growth rate of 95.4% (FY2021 to FY2026).
- Across earlier fiscal years, Acquisitions came in at $7.03 million in FY2025 (+51.7%), $4.63 million in FY2024 (+51.2%), $3.06 million in FY2023 (-76.1%) and $12.8 million in FY2022.
- The fiscal Q1 2027 figure is the highest quarterly Acquisitions in data going back to fiscal Q3 2017.
- On a year-over-year basis, Acquisitions rose in three of the last four quarters, with growth averaging 236.2%.
- Peak year-over-year performance for Acquisitions in the last five years was growth of 841.4% in fiscal Q1 2027, against a decline of 94.5% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.45 million (Q4 2026), $4.04 million (Q3 2026) and $4.73 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 1.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | - |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 1.81 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 23.00 Mn |
| 10 | Air T | 76.66 Mn | -2.97 Mn | 70.16 Mn | 19.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.18 Mn |
| Mar 31, 2026 | 4.45 Mn |
| Dec 31, 2025 | 4.04 Mn |
| Sep 30, 2025 | 4.73 Mn |
| Jun 30, 2025 | 2.04 Mn |
| Mar 31, 2025 | 4.74 Mn |
| Dec 31, 2024 | 2.29 Mn |
| Mar 31, 2024 | 3.55 Mn |
| Dec 31, 2023 | 91,000.00 |
| Sep 30, 2023 | 578,000.00 |
| Jun 30, 2023 | 417,000.00 |
| Mar 31, 2023 | 455,000.00 |
| Dec 31, 2022 | 1.42 Mn |
| Sep 30, 2022 | 307,000.00 |
| Jun 30, 2022 | 880,000.00 |
| Mar 31, 2022 | 8.34 Mn |
| Dec 31, 2021 | 3.38 Mn |
| Mar 31, 2021 | 536,000.00 |
| Jun 30, 2019 | 500,000.00 |
| Sep 30, 2018 | 50,300.00 |
Air T Acquisitions 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=acquisitions&ticker=AIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();