Tat Technologies (TATT) Short term Debt (2009 - 2026)
Tat Technologies (TATT) reported Short term Debt of $164,000 for the quarter ended Jun 30, 2026, down 92.1% from $2.09 million a year earlier and down 92.8% from the prior quarter.
Tat Technologies (TATT) Short term Debt (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Tat Technologies posted Short term Debt of $2.23 million, up 6.9% from the prior year.
- Short term Debt has a five-year compound annual growth rate of 8.6% (years ended Dec 2020 to Dec 2025).
- By year, Short term Debt came in at $2.08 million in the year ended Dec 31, 2024 (-5.3%), $2.2 million in the year ended Dec 31, 2023 (+17.3%), $1.88 million in the year ended Dec 31, 2022 (+171.5%) and $691,000 in the year ended Dec 31, 2021 (-53.2%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Short term Debt since the quarter ended Jun 30, 2009.
- Year over year, Short term Debt gained in five of the last eight quarters, with an average decline of 6.8%.
- The high point for year-over-year Short term Debt in five years was the quarter ended Dec 31, 2022 (growth of 171.5%); the low point was the quarter ended Jun 30, 2026 (a decline of 92.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.27 million (quarter ended Mar 31, 2026), $2.23 million (quarter ended Dec 31, 2025) and $2.15 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 314.12 Bn | 267.89 Bn | 4.68 Bn |
| 2 | Rtx | 258.68 Bn | 230.16 Bn | 5.13 Bn |
| 3 | Boeing | 151.69 Bn | 58.38 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.48 Bn | 113.21 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.49 Bn | 80.61 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.01 Bn | 78.61 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.17 Bn | 73.52 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.41 Bn | 65.65 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.94 Bn | 20.06 Bn | 3.65 Bn |
| 10 | Tat Technologies | 393.18 Mn | 188.97 Mn | 13.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164,000.00 |
| Mar 31, 2026 | 2.27 Mn |
| Dec 31, 2025 | 2.23 Mn |
| Sep 30, 2025 | 2.15 Mn |
| Jun 30, 2025 | 2.09 Mn |
| Mar 31, 2025 | 1.98 Mn |
| Dec 31, 2024 | 6.43 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 8.03 Mn |
| Dec 31, 2023 | 14.34 Mn |
| Sep 30, 2023 | 12.13 Mn |
| Jun 30, 2023 | 4.50 Mn |
| Mar 31, 2023 | 6.11 Mn |
| Dec 31, 2022 | 7.98 Mn |
| Sep 30, 2022 | 6.06 Mn |
| Jun 30, 2022 | 3.02 Mn |
| Mar 31, 2022 | 3.70 Mn |
| Dec 31, 2021 | 6.70 Mn |
| Sep 30, 2021 | 6.01 Mn |
Tat Technologies Short term Debt 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=short-term-debt&ticker=TATT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();