Tat Technologies (TATT) Price to Book (2009 - 2026)
Tat Technologies' Price to Book came in at 3.31 for the quarter ended Jun 30, 2026, up 64.4% from 2.02 a year earlier and up 13.4% from the prior quarter.
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Analysis
Tat Technologies (TATT) Price to Book (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Tat Technologies' Price to Book was 3.29, up 31.0% from the prior year.
- Price to Book has increased in each of the last three years.
- Going back by year, Price to Book was 2.51 in the year ended Dec 31, 2024 (+121.9%), 1.13 in the year ended Dec 31, 2023 (+80.9%), 0.62 in the year ended Dec 31, 2022 (-14.3%) and 0.73 in the year ended Dec 31, 2021 (+45.6%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Price to Book since the quarter ended Dec 31, 2009.
- Year-over-year, Price to Book has increased for eight consecutive quarters, with growth averaging 62.3% over the last eight quarters.
- The fastest year-over-year change in Price to Book over five years came in the quarter ended Dec 31, 2024 (growth of 121.9%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 14.3%).
- Business Quant data shows TATT's Price to Book at 2.92 (quarter ended Mar 31, 2026), 3.29 (quarter ended Dec 31, 2025) and 2.82 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Tat Technologies | 454.93 Mn | 230.10 Mn | 13.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.31 |
| Mar 31, 2026 | 2.92 |
| Dec 31, 2025 | 3.29 |
| Sep 30, 2025 | 2.82 |
| Jun 30, 2025 | 2.02 |
| Mar 31, 2025 | 2.58 |
| Dec 31, 2024 | 2.51 |
| Sep 30, 2024 | 1.71 |
| Jun 30, 2024 | 1.57 |
| Mar 31, 2024 | 1.32 |
| Dec 31, 2023 | 1.13 |
| Sep 30, 2023 | 0.96 |
| Dec 31, 2022 | 0.62 |
| Sep 30, 2022 | 0.71 |
| Jun 30, 2022 | 0.67 |
| Mar 31, 2022 | 0.75 |
| Dec 31, 2021 | 0.73 |
| Sep 30, 2021 | 0.67 |
| Jun 30, 2021 | 0.68 |
| Mar 31, 2021 | 0.56 |
API Access
Tat Technologies 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=TATT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "TATT", "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=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();