Core Laboratories (CLB) Land & Improvements (2022 - 2025)
Core Laboratories' Land & Improvements came in at $10.41 million for Q4 2025, up 0.1% from $10.4 million a year earlier.
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Analysis
Core Laboratories (CLB) Land & Improvements (2022 - 2025) Analysis & Trends
Going back to Q4 2022, Core Laboratories' Land & Improvements data covers 4 quarters.
- Land & Improvements carries a three-year compound annual growth rate of -0.8% (FY2022 to FY2025).
- Going back by year, Land & Improvements was $10.4 million in FY2024 (-2.3%), $10.65 million in FY2023 (unchanged) and $10.65 million in FY2022.
- The Q4 2025 figure represents the highest quarterly Land & Improvements since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 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 | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | Core Laboratories | 445.08 Mn | 357.29 Mn | 23.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.41 Mn |
| Dec 31, 2024 | 10.40 Mn |
| Dec 31, 2023 | 10.65 Mn |
| Dec 31, 2022 | 10.65 Mn |
API Access
Core Laboratories Land & Improvements 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=land-and-improvements&ticker=CLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "CLB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=CLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();