Tat Technologies (TATT) Accumulated Expenses (2014 - 2026)
Tat Technologies (TATT) posted Accumulated Expenses of $18.31 million for the quarter ended Jun 30, 2026, up 19.9% from $15.27 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Tat Technologies (TATT) Accumulated Expenses (2014 - 2026) Analysis & Trends
As of Dec 31, 2025, Tat Technologies' Accumulated Expenses came in at $17.3 million, down 7.0% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 20.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Tat Technologies' Accumulated Expenses was $18.59 million in the year ended Dec 31, 2024 (+33.3%), $13.95 million in the year ended Dec 31, 2023 (+41.3%), $9.88 million in the year ended Dec 31, 2022 (+41.9%) and $6.96 million in the year ended Dec 31, 2021 (+4.0%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 19.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Jun 30, 2023, with growth of 53.2%; the weakest was the quarter ended Dec 31, 2025, with a decline of 7.0%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $17.4 million (quarter ended Mar 31, 2026), $17.3 million (quarter ended Dec 31, 2025) and $16.71 million (quarter ended Sep 30, 2025).
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 | 18.31 Mn |
| Mar 31, 2026 | 17.40 Mn |
| Dec 31, 2025 | 17.30 Mn |
| Sep 30, 2025 | 16.71 Mn |
| Jun 30, 2025 | 15.27 Mn |
| Mar 31, 2025 | 15.57 Mn |
| Dec 31, 2024 | 18.59 Mn |
| Sep 30, 2024 | 16.62 Mn |
| Jun 30, 2024 | 12.91 Mn |
| Mar 31, 2024 | 12.38 Mn |
| Dec 31, 2023 | 13.95 Mn |
| Sep 30, 2023 | 10.89 Mn |
| Jun 30, 2023 | 10.75 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 9.88 Mn |
| Sep 30, 2022 | 7.49 Mn |
| Jun 30, 2022 | 7.01 Mn |
| Mar 31, 2022 | 6.92 Mn |
| Dec 31, 2021 | 6.96 Mn |
| Sep 30, 2021 | 7.57 Mn |
API Access
Tat Technologies Accumulated Expenses 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=accumulated-expenses&ticker=TATT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();