Slb (SLB) Operating Expenses (2009 - 2026)
Slb (SLB) recorded Operating Expenses of $324 million in Q2 2026, down 19.4% from $402 million a year earlier but up 7.3% from the prior quarter.
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Analysis
Slb (SLB) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Slb's Operating Expenses came in at $1.34 billion as of Jun 30, 2026, down 11.0% year-over-year; for FY2025, it came in at $1.51 billion, up 9.8% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $1.37 billion in FY2024 (+22.4%), $1.12 billion in FY2023 (+10.9%), $1.01 billion in FY2022 (+13.1%) and $893 million in FY2021 (-5.5%).
- Quarterly Operating Expenses has ranged from $220 million in Q3 2021 to $426 million in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 51.7% in Q2 2024, against a decline of 29.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $302 million (Q1 2026), $326 million (Q4 2025) and $385 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 324.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 723.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 2.28 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 4.94 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 1.04 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 689.21 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 812.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 998.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 498.70 Mn |
| 10 | Kodiak Gas Services | 5.35 Bn | 5.11 Bn | 246.76 Mn | 266.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324.00 Mn |
| Mar 31, 2026 | 302.00 Mn |
| Dec 31, 2025 | 326.00 Mn |
| Sep 30, 2025 | 385.00 Mn |
| Jun 30, 2025 | 402.00 Mn |
| Mar 31, 2025 | 426.00 Mn |
| Dec 31, 2024 | 333.00 Mn |
| Sep 30, 2024 | 342.00 Mn |
| Jun 30, 2024 | 393.00 Mn |
| Mar 31, 2024 | 314.00 Mn |
| Dec 31, 2023 | 283.00 Mn |
| Sep 30, 2023 | 267.00 Mn |
| Jun 30, 2023 | 259.00 Mn |
| Mar 31, 2023 | 265.00 Mn |
| Dec 31, 2022 | 277.00 Mn |
| Sep 30, 2022 | 254.00 Mn |
| Jun 30, 2022 | 240.00 Mn |
| Mar 31, 2022 | 238.00 Mn |
| Dec 31, 2021 | 253.00 Mn |
| Sep 30, 2021 | 220.00 Mn |
API Access
Slb Operating Expenses 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=operating-expenses&ticker=SLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();