Tat Technologies (TATT) EBIT (2009 - 2026)
Tat Technologies' EBIT was $5.62 million in the quarter ended Jun 30, 2026, up 26.8% from $4.44 million a year earlier and up 88.4% from the prior quarter.
Tat Technologies (TATT) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tat Technologies' EBIT was $18.82 million through Jun 30, 2026, up 16.4% year-over-year; for the year ended Dec 31, 2025, it was $18.81 million, up 50.5% from the prior year.
- In earlier years, EBIT was $12.5 million in the year ended Dec 31, 2024 (+105.8%), $6.08 million in the year ended Dec 31, 2023, -$1.78 million in the year ended Dec 31, 2022 and -$4.04 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly EBIT in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, EBIT was higher in seven of the last eight quarters, with growth averaging 55.3%.
- The best year-over-year quarter for EBIT over five years was the quarter ended Mar 31, 2024 (growth of 132.9%); the worst was the quarter ended Mar 31, 2026 (a decline of 28.4%).
- Per Business Quant data, TATT's EBIT in the three quarters before the quarter ended Jun 30, 2026 was $2.99 million (quarter ended Mar 31, 2026), $4.95 million (quarter ended Dec 31, 2025) and $5.26 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | -6.18 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 2.81 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 156.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 2.48 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 711.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 1.46 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 809.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 1.10 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 1.79 Bn |
| 10 | Tat Technologies | 459.86 Mn | 235.03 Mn | 13.32 Mn | 5.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.62 Mn |
| Mar 31, 2026 | 2.99 Mn |
| Dec 31, 2025 | 4.95 Mn |
| Sep 30, 2025 | 5.26 Mn |
| Jun 30, 2025 | 4.44 Mn |
| Mar 31, 2025 | 4.17 Mn |
| Dec 31, 2024 | 4.11 Mn |
| Sep 30, 2024 | 3.45 Mn |
| Jun 30, 2024 | 2.73 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 1.84 Mn |
| Sep 30, 2023 | 1.76 Mn |
| Jun 30, 2023 | 1.53 Mn |
| Mar 31, 2023 | 948,000.00 |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | -508,000.00 |
| Jun 30, 2022 | -925,000.00 |
| Mar 31, 2022 | -1.49 Mn |
| Dec 31, 2021 | -664,000.00 |
| Sep 30, 2021 | -641,000.00 |
Tat Technologies EBIT 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=ebit&ticker=TATT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();