Air T (AIRT) Price to Earnings (2011 - 2026)
Air T's (AIRT) Price to Earnings was 1.12 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 48.0% from the prior quarter.
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Analysis
Air T (AIRT) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Price to Earnings at Air T was 0.76.
- By fiscal year, Price to Earnings came in at 5.97 in FY2022.
- The fiscal Q1 2027 figure ranks as the highest quarterly Price to Earnings since fiscal Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 344.32 Bn | 302.84 Bn | 5.02 Bn |
| 2 | Rtx | 264.74 Bn | 233.01 Bn | 5.81 Bn |
| 3 | Boeing | 138.76 Bn | 47.72 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 135.58 Bn | 119.82 Bn | 2.44 Bn |
| 5 | General Dynamics | 97.92 Bn | 83.15 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 86.49 Bn | 82.95 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 86.21 Bn | 81.96 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 77.20 Bn | 64.66 Bn | 2.35 Bn |
| 9 | Honeywell International | 72.22 Bn | 31.73 Bn | 2.02 Bn |
| 10 | Air T | 76.86 Mn | -19.06 Mn | 70.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 |
| Mar 31, 2026 | 0.76 |
| Dec 31, 2022 | 63.94 |
| Sep 30, 2022 | 116.48 |
| Jun 30, 2022 | 5.13 |
| Mar 31, 2022 | 5.97 |
| Dec 31, 2021 | 74.95 |
| Sep 30, 2021 | 19.10 |
| Jun 30, 2020 | 6.73 |
| Mar 31, 2020 | 4.71 |
| Dec 31, 2019 | 6.10 |
| Sep 30, 2019 | 7.74 |
| Jun 30, 2019 | 134.01 |
| Mar 31, 2019 | 30.39 |
| Dec 31, 2018 | 140.99 |
| Sep 30, 2018 | 28.78 |
| Jun 30, 2018 | 16.47 |
| Mar 31, 2018 | 22.71 |
| Dec 31, 2017 | 53.04 |
| Sep 30, 2017 | 12.69 |
API Access
Air T Price to Earnings 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=price-to-earnings&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();