KLX Energy Services Holdings (KLXE) Depreciation and Depletion (2017 - 2026)
KLX Energy Services Holdings (KLXE) reported Depreciation and Depletion of $15.9 million for Q2 2026, down 15.9% from $18.9 million a year earlier and down 5.9% from the prior quarter.
KLX Energy Services Holdings (KLXE) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, KLX Energy Services Holdings' Depreciation and Depletion came in at $69.8 million, down 6.6% year-over-year; for FY2025, it came in at $74.9 million, up 7.5% from FY2024.
- Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $69.7 million in FY2024 (+20.8%), $57.7 million in FY2023 (+17.3%), $49.2 million in FY2022 (-0.6%) and $49.5 million in FY2021.
- Five-year quarterly Depreciation and Depletion spans a low of $7.7 million in Q4 2021 and a high of $19 million in Q1 2025.
- Year over year, Depreciation and Depletion has now declined in each of the last three quarters, with growth averaging 6.1% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2022 (growth of 62.3%); the low point was Q2 2026 (a decline of 15.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.9 million (Q1 2026), $18.2 million (Q4 2025) and $18.8 million (Q3 2025).
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 | KLX Energy Services Holdings | 30.00 Mn | 2.50 Mn | 36.40 Mn | 15.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.90 Mn |
| Mar 31, 2026 | 16.90 Mn |
| Dec 31, 2025 | 18.20 Mn |
| Sep 30, 2025 | 18.80 Mn |
| Jun 30, 2025 | 18.90 Mn |
| Mar 31, 2025 | 19.00 Mn |
| Dec 31, 2024 | 19.00 Mn |
| Sep 30, 2024 | 17.80 Mn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | 15.90 Mn |
| Dec 31, 2023 | 15.40 Mn |
| Sep 30, 2023 | 14.80 Mn |
| Jun 30, 2023 | 14.10 Mn |
| Mar 31, 2023 | 13.40 Mn |
| Dec 31, 2022 | 12.50 Mn |
| Sep 30, 2022 | 12.20 Mn |
| Jun 30, 2022 | 12.40 Mn |
| Mar 31, 2022 | 12.10 Mn |
| Dec 31, 2021 | 7.70 Mn |
| Oct 31, 2021 | 12.70 Mn |
KLX Energy Services Holdings 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=KLXE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "KLXE", "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=KLXE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();