Tat Technologies (TATT) Operating Leases (2011 - 2026)
Tat Technologies (TATT) recorded Operating Leases of $4.03 million in the quarter ended Jun 30, 2026, up 59.5% from $2.53 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Tat Technologies (TATT) Operating Leases (2011 - 2026) Analysis & Trends
As of Dec 31, 2025, Tat Technologies reported Operating Leases of $4.45 million, up 230.7% from the prior year.
- Annual Operating Leases has a five-year compound annual growth rate of 22.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Operating Leases came in at $1.35 million in the year ended Dec 31, 2024 (-20.7%), $1.7 million in the year ended Dec 31, 2023 (+87.7%), $904,000 in the year ended Dec 31, 2022 (-22.7%) and $1.17 million in the year ended Dec 31, 2021 (-27.6%).
- Quarterly Operating Leases has ranged from $609,000 in the quarter ended Mar 31, 2022 to $4.45 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Operating Leases has increased for six consecutive quarters, with growth averaging 111.9% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 260.8% in the quarter ended Sep 30, 2025, against a decline of 61.7% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.17 million (quarter ended Mar 31, 2026), $4.45 million (quarter ended Dec 31, 2025) and $4.07 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 | 4.03 Mn |
| Mar 31, 2026 | 4.17 Mn |
| Dec 31, 2025 | 4.45 Mn |
| Sep 30, 2025 | 4.07 Mn |
| Jun 30, 2025 | 2.53 Mn |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 1.13 Mn |
| Jun 30, 2024 | 1.16 Mn |
| Mar 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | 1.70 Mn |
| Sep 30, 2023 | 1.07 Mn |
| Jun 30, 2023 | 825,000.00 |
| Mar 31, 2023 | 866,000.00 |
| Dec 31, 2022 | 904,000.00 |
| Sep 30, 2022 | 878,000.00 |
| Jun 30, 2022 | 774,000.00 |
| Mar 31, 2022 | 609,000.00 |
| Dec 31, 2021 | 1.17 Mn |
| Sep 30, 2021 | 1.62 Mn |
API Access
Tat Technologies Operating Leases 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=operating-leases&ticker=TATT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();