Air T (AIRT) EV to EBITDA (2011 - 2026)
Air T's EV to EBITDA came in at 41.81 for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 466.3% from 7.38 a year earlier and up 871.3% from the prior quarter.
Air T (AIRT) EV to EBITDA (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Air T's EV to EBITDA was 41.89, up 469.0% from FY2025.
- Going back by fiscal year, EV to EBITDA was 7.36 in FY2025 (-54.8%), 16.27 in FY2024 and 6.47 in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly EV to EBITDA in data going back to fiscal Q4 2011.
- Year-over-year, EV to EBITDA increased in 1 of the last five quarters, with growth averaging 63.9%.
- Business Quant data shows AIRT's EV to EBITDA at 4.31 (Q3 2026), 5.40 (Q2 2026) and 6.40 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn |
| 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 |
| 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 |
| 10 | Air T | 76.66 Mn | -2.97 Mn | 70.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 41.81 |
| Dec 31, 2025 | 4.31 |
| Sep 30, 2025 | 5.40 |
| Jun 30, 2025 | 6.40 |
| Mar 31, 2025 | 7.38 |
| Dec 31, 2024 | 4.36 |
| Sep 30, 2024 | 7.04 |
| Jun 30, 2024 | 19.75 |
| Mar 31, 2024 | 16.27 |
| Dec 31, 2022 | 5.87 |
| Sep 30, 2022 | 4.16 |
| Jun 30, 2022 | 4.08 |
| Mar 31, 2022 | 6.47 |
| Dec 31, 2020 | 10.79 |
| Sep 30, 2020 | 4.68 |
| Jun 30, 2020 | 2.83 |
| Mar 31, 2020 | 2.65 |
| Dec 31, 2019 | 3.06 |
| Sep 30, 2019 | -1.02 |
| Jun 30, 2019 | -0.47 |
Air T EV to EBITDA 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=ev-to-ebitda&ticker=AIRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();