Forum Energy Technologies (FET) Depreciation and Depletion (2011 - 2026)
Forum Energy Technologies' Depreciation and Depletion came in at $2.93 million for Q2 2026, down 18.8% from $3.61 million a year earlier and down 7.9% from the prior quarter.
Forum Energy Technologies (FET) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Forum Energy Technologies reported Depreciation and Depletion of $12.63 million, down 20.9% year-over-year; for FY2025, it was $13.82 million, down 18.2% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $16.9 million in FY2024 (+56.5%), $10.8 million in FY2023 (-13.2%), $12.44 million in FY2022 (-27.2%) and $17.1 million in FY2021 (-30.2%).
- The Q2 2026 figure represents the lowest quarterly Depreciation and Depletion since Q4 2023.
- Year-over-year, Depreciation and Depletion has declined for six consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q2 2024 (growth of 69.0%), and the weakest in Q3 2021 (a decline of 32.7%).
- Business Quant data shows FET's Depreciation and Depletion at $3.19 million (Q1 2026), $3.27 million (Q4 2025) and $3.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.22 Bn | 69.33 Bn | 1.40 Bn | 473.00 Mn |
| 2 | Baker Hughes | 55.21 Bn | 18.49 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 27.04 Bn | 23.19 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.59 Bn | 18.34 Bn | 804.00 Mn | - |
| 5 | Nov | 6.76 Bn | 1.55 Bn | 521.00 Mn | - |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.63 Bn | 1.57 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.51 Bn | 3.13 Bn | 123.70 Mn | 44.60 Mn |
| 10 | Forum Energy Technologies | 924.67 Mn | 787.11 Mn | 71.35 Mn | 2.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.93 Mn |
| Mar 31, 2026 | 3.19 Mn |
| Dec 31, 2025 | 3.27 Mn |
| Sep 30, 2025 | 3.24 Mn |
| Jun 30, 2025 | 3.61 Mn |
| Mar 31, 2025 | 3.69 Mn |
| Dec 31, 2024 | 4.24 Mn |
| Sep 30, 2024 | 4.44 Mn |
| Jun 30, 2024 | 4.15 Mn |
| Mar 31, 2024 | 4.07 Mn |
| Dec 31, 2023 | 2.88 Mn |
| Sep 30, 2023 | 2.89 Mn |
| Jun 30, 2023 | 2.46 Mn |
| Mar 31, 2023 | 2.57 Mn |
| Dec 31, 2022 | 2.76 Mn |
| Sep 30, 2022 | 2.94 Mn |
| Jun 30, 2022 | 3.32 Mn |
| Mar 31, 2022 | 3.42 Mn |
| Dec 31, 2021 | 3.94 Mn |
| Sep 30, 2021 | 3.94 Mn |
Forum Energy Technologies Depreciation and Depletion 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=depreciation-and-depletion&ticker=FET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();