Tat Technologies (TATT) Prepaid Assets (2009 - 2026)
Tat Technologies' Prepaid Assets came in at $7.04 million for the quarter ended Jun 30, 2026, up 6.5% from $6.61 million a year earlier but down 16.4% from the prior quarter.
Tat Technologies (TATT) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Tat Technologies' Prepaid Assets was $6.07 million, down 22.6% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of 17.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Prepaid Assets was $7.85 million in the year ended Dec 31, 2024 (+22.7%), $6.4 million in the year ended Dec 31, 2023 (+5.8%), $6.05 million in the year ended Dec 31, 2022 (+43.3%) and $4.22 million in the year ended Dec 31, 2021 (+54.1%).
- The five-year range for quarterly Prepaid Assets is $4.22 million (the quarter ended Dec 31, 2021) to $8.42 million (the quarter ended Mar 31, 2026).
- Year-over-year, Prepaid Assets increased in five of the last eight quarters, with growth averaging 7.8%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Sep 30, 2021 (growth of 57.4%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 22.6%).
- Business Quant data shows TATT's Prepaid Assets at $8.42 million (quarter ended Mar 31, 2026), $6.07 million (quarter ended Dec 31, 2025) and $6.3 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.04 Mn |
| Mar 31, 2026 | 8.42 Mn |
| Dec 31, 2025 | 6.07 Mn |
| Sep 30, 2025 | 6.30 Mn |
| Jun 30, 2025 | 6.61 Mn |
| Mar 31, 2025 | 8.38 Mn |
| Dec 31, 2024 | 7.85 Mn |
| Sep 30, 2024 | 7.27 Mn |
| Jun 30, 2024 | 6.72 Mn |
| Mar 31, 2024 | 6.58 Mn |
| Dec 31, 2023 | 6.40 Mn |
| Sep 30, 2023 | 5.09 Mn |
| Jun 30, 2023 | 5.99 Mn |
| Mar 31, 2023 | 4.91 Mn |
| Dec 31, 2022 | 6.05 Mn |
| Sep 30, 2022 | 5.23 Mn |
| Jun 30, 2022 | 4.66 Mn |
| Mar 31, 2022 | 4.33 Mn |
| Dec 31, 2021 | 4.22 Mn |
| Sep 30, 2021 | 5.43 Mn |
Tat Technologies Prepaid Assets 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=prepaid-assets&ticker=TATT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();