Air T (AIRT) Price to Book (2010 - 2026)
Air T's Price to Book came in at 1.07 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 46.5% from the prior quarter.
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Analysis
Air T (AIRT) Price to Book (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Air T's Price to Book was 0.73.
- Going back by fiscal year, Price to Book was 10.59 in FY2024 (+94.6%), 5.44 in FY2023 (+114.5%) and 2.54 in FY2022 (-45.5%).
- The fiscal Q1 2027 figure represents the highest quarterly Price to Book since fiscal Q3 2025.
- The fastest year-over-year change in Price to Book over five years came in fiscal Q1 2024 (growth of 205.0%), and the weakest in fiscal Q1 2023 (a decline of 61.0%).
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 | 1.07 |
| Mar 31, 2026 | 0.73 |
| Dec 31, 2024 | 7.92 |
| Sep 30, 2024 | 5.06 |
| Jun 30, 2024 | 11.39 |
| Mar 31, 2024 | 10.59 |
| Dec 31, 2023 | 5.99 |
| Sep 30, 2023 | 5.76 |
| Jun 30, 2023 | 5.70 |
| Mar 31, 2023 | 5.44 |
| Dec 31, 2022 | 3.11 |
| Sep 30, 2022 | 2.04 |
| Jun 30, 2022 | 1.87 |
| Mar 31, 2022 | 2.54 |
| Dec 31, 2021 | 3.40 |
| Sep 30, 2021 | 3.60 |
| Jun 30, 2021 | 4.79 |
| Mar 31, 2021 | 4.66 |
| Dec 31, 2020 | 3.27 |
| Sep 30, 2020 | 1.36 |
API Access
Air T Price to Book 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-book&ticker=AIRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=AIRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();