Tat Technologies (TATT) Receivables (2009 - 2026)
Tat Technologies (TATT) recorded Receivables of $38.81 million in 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 (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Tat Technologies reported Receivables of $33.42 million, up 12.5% from the prior year.
- Annual Receivables has increased for five straight years, with a five-year compound annual growth rate of 22.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $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 (+6.4%) and $14.69 million in the year ended Dec 31, 2021 (+21.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Receivables in data going back to the quarter ended Dec 31, 2009.
- Peak year-over-year performance for Receivables in the last five years was growth of 48.4% in the quarter ended Dec 31, 2024, against a decline of 3.7% in the quarter ended Sep 30, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Tat Technologies | 454.93 Mn | 230.10 Mn | 13.32 Mn | 38.81 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 | 14.69 Mn |
| Sep 30, 2021 | 13.16 Mn |
| Jun 30, 2021 | 14.94 Mn |
| Mar 31, 2021 | 12.86 Mn |
| Dec 31, 2020 | 12.10 Mn |
| Sep 30, 2020 | 13.66 Mn |
| Jun 30, 2020 | 14.49 Mn |
Tat Technologies Receivables 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&ticker=TATT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=TATT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();