Tat Technologies (TATT) Receivables - Net (2009 - 2026)
Tat Technologies (TATT) posted Receivables - Net of $38.81 million for the quarter ended Jun 30, 2026, up 20.3% from $32.27 million a year earlier and up 27.4% from the prior quarter.
Tat Technologies (TATT) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Tat Technologies' Receivables - Net came in at $33.42 million, up 12.5% from the prior year.
- Annual Receivables - Net has increased for five consecutive years, with a five-year compound annual growth rate of 24.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Tat Technologies' Receivables - Net was $29.7 million in the year ended Dec 31, 2024 (+48.4%), $20.01 million in the year ended Dec 31, 2023 (+28.1%), $15.62 million in the year ended Dec 31, 2022 (+12.5%) and $13.89 million in the year ended Dec 31, 2021 (+22.3%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Receivables - Net in data going back to the quarter ended Dec 31, 2009.
- The strongest year-over-year quarter for Receivables - Net in the past five years was the quarter ended Dec 31, 2024, with growth of 48.4%; the weakest was the quarter ended Sep 30, 2021, with a decline of 3.7%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $30.46 million (quarter ended Mar 31, 2026), $33.42 million (quarter ended Dec 31, 2025) and $33.33 million (quarter ended Sep 30, 2025).
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 | 38.81 Mn |
| Mar 31, 2026 | 30.46 Mn |
| Dec 31, 2025 | 33.42 Mn |
| Sep 30, 2025 | 33.33 Mn |
| Jun 30, 2025 | 32.27 Mn |
| Dec 31, 2024 | 29.70 Mn |
| Dec 31, 2023 | 20.01 Mn |
| Sep 30, 2023 | 17.89 Mn |
| Jun 30, 2023 | 14.50 Mn |
| Mar 31, 2023 | 17.64 Mn |
| Sep 30, 2022 | 13.37 Mn |
| Jun 30, 2022 | 14.49 Mn |
| Mar 31, 2022 | 14.69 Mn |
| Dec 31, 2021 | 13.89 Mn |
| Sep 30, 2021 | 13.16 Mn |
| Jun 30, 2021 | 14.94 Mn |
| Mar 31, 2021 | 12.86 Mn |
| Dec 31, 2020 | 11.36 Mn |
| Sep 30, 2020 | 13.66 Mn |
| Jun 30, 2020 | 14.49 Mn |
Tat Technologies Receivables - Net 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=receivables-net&ticker=TATT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();