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.
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 | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Air T | 80.21 Mn | 582,585.15 | 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 | 0.77 |
| Jun 30, 2019 | 13.40 |
| Mar 31, 2019 | 3.04 |
| Dec 31, 2018 | 14.09 |
| Sep 30, 2018 | 2.88 |
| Jun 30, 2018 | 1.65 |
| Mar 31, 2018 | 2.27 |
| Dec 31, 2017 | 5.30 |
| Sep 30, 2017 | 1.27 |
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_KEY
import 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();