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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 343.33 Bn | 301.85 Bn | 5.02 Bn | - |
| 2 | Rtx | 263.31 Bn | 231.58 Bn | 5.81 Bn | - |
| 3 | Boeing | 138.56 Bn | 47.52 Bn | 2.17 Bn | - |
| 4 | Lockheed Martin | 134.21 Bn | 118.45 Bn | 2.44 Bn | - |
| 5 | General Dynamics | 97.50 Bn | 82.74 Bn | 2.25 Bn | - |
| 6 | Motorola Solutions | 86.68 Bn | 83.15 Bn | 1.77 Bn | 1.36 Bn |
| 7 | Howmet Aerospace | 85.32 Bn | 81.08 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 76.52 Bn | 63.97 Bn | 2.35 Bn | - |
| 9 | Honeywell International | 72.51 Bn | 32.02 Bn | 2.02 Bn | 1.74 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn | 28.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.00 Mn |
| Mar 31, 2026 | 4.78 Mn |
| Dec 31, 2025 | 9.25 Mn |
| Sep 30, 2025 | 4.71 Mn |
| Jun 30, 2025 | 3.22 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 | 2.95 Mn |
| Dec 31, 2022 | 1.42 Mn |
| Sep 30, 2022 | 307,000.00 |
| Jun 30, 2022 | 880,000.00 |
| Mar 31, 2022 | 15.14 Mn |
| Dec 31, 2021 | 16.78 Mn |
| Mar 31, 2021 | 536,000.00 |
| Jun 30, 2019 | 500,000.00 |
| Mar 31, 2019 | -2.00 Mn |
API Access
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_KEYimport 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();