Core Laboratories (CLB) Property, Plant & Equipment (Net) (2022 - 2026)
Core Laboratories (CLB) posted Property, Plant & Equipment (Net) of $100.84 million for Q3 2026, up 2.9% from $98.03 million a year earlier and up 0.4% from the prior quarter.
Core Laboratories (CLB) Property, Plant & Equipment (Net) (2022 - 2026) Analysis & Trends
At the end of FY2025, Core Laboratories' Property, Plant & Equipment (Net) came in at $99.45 million, up 2.5% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of -2.7% (FY2021 to FY2025).
- In prior years, Core Laboratories' Property, Plant & Equipment (Net) was $97.06 million in FY2024 (-2.6%), $99.63 million in FY2023 (-5.1%), $105.03 million in FY2022 (-5.3%) and $110.95 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q2 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last five quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q3 2026, with growth of 2.9%; the weakest was Q4 2023, with a decline of 5.1%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $100.39 million (Q2 2026), $99.99 million (Q1 2026) and $99.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 7.71 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 6.78 Bn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 5.15 Bn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 2.25 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 5.51 Bn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 1.99 Bn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 12.24 Bn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 2.26 Bn |
| 10 | Core Laboratories | 415.09 Mn | 325.46 Mn | 26.99 Mn | 100.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100.84 Mn |
| Jun 30, 2026 | 100.39 Mn |
| Mar 31, 2026 | 99.99 Mn |
| Dec 31, 2025 | 99.45 Mn |
| Sep 30, 2025 | 98.03 Mn |
| Jun 30, 2025 | 97.93 Mn |
| Mar 31, 2025 | 97.94 Mn |
| Dec 31, 2024 | 97.06 Mn |
| Sep 30, 2024 | 97.61 Mn |
| Jun 30, 2024 | 98.51 Mn |
| Mar 31, 2024 | 98.52 Mn |
| Dec 31, 2023 | 99.63 Mn |
| Sep 30, 2023 | 99.50 Mn |
| Jun 30, 2023 | 101.66 Mn |
| Dec 31, 2022 | 105.03 Mn |
Core Laboratories Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();