Slb (SLB) Depreciation and Depletion (2009 - 2026)
Slb (SLB) recorded Depreciation and Depletion of $473 million in Q2 2026, up 15.9% from $408 million a year earlier and up 1.9% from the prior quarter.
Slb (SLB) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a TTM basis, Slb's Depreciation and Depletion came in at $1.87 billion as of Jun 30, 2026, up 13.4% year-over-year; for FY2025, it was $1.73 billion, up 8.3% from FY2024.
- Annual Depreciation and Depletion has increased for three straight years, with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $1.6 billion in FY2024 (+10.7%), $1.45 billion in FY2023 (+3.2%), $1.4 billion in FY2022 (-0.1%) and $1.4 billion in FY2021 (-13.7%).
- Quarterly Depreciation and Depletion has ranged from $338 million in Q1 2022 to $475 million in Q4 2025 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has increased for 15 consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 17.1% in Q4 2024, against a decline of 9.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $464 million (Q1 2026), $475 million (Q4 2025) and $453 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 | Kodiak Gas Services | 5.41 Bn | 5.17 Bn | 246.76 Mn | 72.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 473.00 Mn |
| Mar 31, 2026 | 464.00 Mn |
| Dec 31, 2025 | 475.00 Mn |
| Sep 30, 2025 | 453.00 Mn |
| Jun 30, 2025 | 408.00 Mn |
| Mar 31, 2025 | 397.00 Mn |
| Dec 31, 2024 | 445.00 Mn |
| Sep 30, 2024 | 394.00 Mn |
| Jun 30, 2024 | 384.00 Mn |
| Mar 31, 2024 | 377.00 Mn |
| Dec 31, 2023 | 380.00 Mn |
| Sep 30, 2023 | 365.00 Mn |
| Jun 30, 2023 | 353.00 Mn |
| Mar 31, 2023 | 347.00 Mn |
| Dec 31, 2022 | 379.00 Mn |
| Sep 30, 2022 | 343.00 Mn |
| Jun 30, 2022 | 340.00 Mn |
| Mar 31, 2022 | 338.00 Mn |
| Dec 31, 2021 | 345.00 Mn |
| Sep 30, 2021 | 350.00 Mn |
Slb 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=SLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "SLB", "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=SLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();