Forum Energy Technologies (FET) Cash & Equivalents (2011 - 2026)
Forum Energy Technologies' Cash & Equivalents was $35.17 million in Q3 2026, up 11.0% from $31.69 million a year earlier and up 4.3% from the prior quarter.
Forum Energy Technologies (FET) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Forum Energy Technologies came in at $34.66 million, down 22.4% from FY2024.
- Cash & Equivalents has now declined for three consecutive years, with a five-year compound annual growth rate of -23.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $44.66 million in FY2024 (-3.3%), $46.17 million in FY2023 (-9.5%), $51.03 million in FY2022 (+8.9%) and $46.86 million in FY2021 (-63.6%).
- Quarterly Cash & Equivalents has moved between $19.78 million (Q3 2022) and $51.03 million (Q4 2022) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with an average decline of 3.2%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2023 (growth of 127.0%); the worst was Q1 2022 (a decline of 79.6%).
- Per Business Quant data, FET's Cash & Equivalents in the three quarters before Q3 2026 was $33.72 million (Q2 2026), $37.49 million (Q1 2026) and $34.66 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 73.67 Bn | 71.28 Bn | 1.57 Bn | 2.62 Bn |
| 2 | Baker Hughes | 47.44 Bn | 9.59 Bn | 1.96 Bn | 4.07 Bn |
| 3 | Halliburton | 26.34 Bn | 18.29 Bn | 840.00 Mn | 1.84 Bn |
| 4 | TechnipFMC | 25.18 Bn | 21.15 Bn | 728.70 Mn | 1.05 Bn |
| 5 | Noble | 6.56 Bn | 4.64 Bn | 228.22 Mn | 337.19 Mn |
| 6 | Nov | 6.31 Bn | 1.25 Bn | 439.00 Mn | 1.06 Bn |
| 7 | Weatherford International | 6.11 Bn | 1.89 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 5.79 Bn | 3.83 Bn | 348.00 Mn | 499.00 Mn |
| 9 | Valaris | 5.48 Bn | 3.23 Bn | 176.30 Mn | 525.10 Mn |
| 10 | Forum Energy Technologies | 827.87 Mn | 686.84 Mn | 74.41 Mn | 35.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.17 Mn |
| Jun 30, 2026 | 33.72 Mn |
| Mar 31, 2026 | 37.49 Mn |
| Dec 31, 2025 | 34.66 Mn |
| Sep 30, 2025 | 31.69 Mn |
| Jun 30, 2025 | 38.97 Mn |
| Mar 31, 2025 | 31.14 Mn |
| Dec 31, 2024 | 44.66 Mn |
| Sep 30, 2024 | 33.31 Mn |
| Jun 30, 2024 | 31.83 Mn |
| Mar 31, 2024 | 48.49 Mn |
| Dec 31, 2023 | 46.17 Mn |
| Sep 30, 2023 | 37.15 Mn |
| Jun 30, 2023 | 24.76 Mn |
| Mar 31, 2023 | 46.76 Mn |
| Dec 31, 2022 | 51.03 Mn |
| Sep 30, 2022 | 19.78 Mn |
| Jun 30, 2022 | 26.90 Mn |
| Mar 31, 2022 | 20.60 Mn |
| Dec 31, 2021 | 46.86 Mn |
Forum Energy Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=FET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();