Tat Technologies (TATT) EBITDA (2014 - 2026)
Tat Technologies (TATT) reported EBITDA of $7.01 million for the quarter ended Jun 30, 2026, up 24.3% from $5.64 million a year earlier and up 63.2% from the prior quarter.
Tat Technologies (TATT) EBITDA (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tat Technologies' EBITDA came in at $24.11 million, up 13.0% year-over-year; for the year ended Dec 31, 2025, it came in at $23.91 million, up 33.2% from the prior year.
- EBITDA has increased for four consecutive years, with a five-year compound annual growth rate of 316.8% (years ended Dec 2020 to Dec 2025).
- By year, EBITDA came in at $17.96 million in the year ended Dec 31, 2024 (+66.5%), $10.79 million in the year ended Dec 31, 2023 (+458.5%), $1.93 million in the year ended Dec 31, 2022 (+128.3%) and $846,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly EBITDA in data going back to the quarter ended Sep 30, 2014.
- Year over year, EBITDA gained in seven of the last eight quarters, with growth averaging 33.2%.
- The high point for year-over-year EBITDA in five years was the quarter ended Sep 30, 2023 (growth of 575.9%); the low point was the quarter ended Sep 30, 2022 (a decline of 47.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $4.3 million (quarter ended Mar 31, 2026), $6.29 million (quarter ended Dec 31, 2025) and $6.51 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | -5.87 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 3.89 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 752.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 2.88 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 795.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 1.68 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 957.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 1.46 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 2.10 Bn |
| 10 | Tat Technologies | 459.86 Mn | 235.03 Mn | 13.32 Mn | 7.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.01 Mn |
| Mar 31, 2026 | 4.30 Mn |
| Dec 31, 2025 | 6.29 Mn |
| Sep 30, 2025 | 6.51 Mn |
| Jun 30, 2025 | 5.64 Mn |
| Mar 31, 2025 | 5.48 Mn |
| Dec 31, 2024 | 5.25 Mn |
| Sep 30, 2024 | 4.96 Mn |
| Jun 30, 2024 | 4.17 Mn |
| Mar 31, 2024 | 3.58 Mn |
| Dec 31, 2023 | 3.51 Mn |
| Sep 30, 2023 | 2.86 Mn |
| Jun 30, 2023 | 2.43 Mn |
| Mar 31, 2023 | 1.99 Mn |
| Dec 31, 2022 | 2.03 Mn |
| Sep 30, 2022 | 423,000.00 |
| Jun 30, 2022 | 1,000.00 |
| Mar 31, 2022 | -521,000.00 |
| Dec 31, 2021 | 640,000.00 |
| Sep 30, 2021 | 799,000.00 |
Tat Technologies EBITDA 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=ebitda&ticker=TATT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();