Core Laboratories (CLB) Total Non-Current Liabilities (2022 - 2026)
Core Laboratories (CLB) posted Total Non-Current Liabilities of $261.78 million for Q2 2026, down 7.6% from $283.43 million a year earlier and down 2.5% from the prior quarter.
Core Laboratories (CLB) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Core Laboratories' Total Non-Current Liabilities came in at $266.57 million, down 5.1% from FY2024.
- Annual Total Non-Current Liabilities has declined for three consecutive years, with a three-year compound annual growth rate of -8.0% (FY2022 to FY2025).
- In prior years, Core Laboratories' Total Non-Current Liabilities was $280.97 million in FY2024 (-9.8%), $311.42 million in FY2023 (-9.0%) and $342.12 million in FY2022.
- Quarterly Total Non-Current Liabilities has run from a low of $261.47 million in Q3 2025 to a high of $342.12 million in Q4 2022 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last nine quarters, with an average decline of 7.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Total Non-Current Liabilities ranged from 4.8% (Q1 2026) to 10.5% (Q3 2025).
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $268.55 million (Q1 2026), $266.57 million (Q4 2025) and $261.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 27.03 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 36.63 Bn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 13.84 Bn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 6.25 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 2.61 Bn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 4.62 Bn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 2.99 Bn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 5.31 Bn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 1.87 Bn |
| 10 | Core Laboratories | 415.09 Mn | 325.46 Mn | 26.99 Mn | 263.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 263.18 Mn |
| Jun 30, 2026 | 261.78 Mn |
| Mar 31, 2026 | 268.55 Mn |
| Dec 31, 2025 | 266.57 Mn |
| Sep 30, 2025 | 261.47 Mn |
| Jun 30, 2025 | 283.43 Mn |
| Mar 31, 2025 | 282.12 Mn |
| Dec 31, 2024 | 280.97 Mn |
| Sep 30, 2024 | 292.08 Mn |
| Jun 30, 2024 | 301.09 Mn |
| Mar 31, 2024 | 309.76 Mn |
| Dec 31, 2023 | 311.42 Mn |
| Sep 30, 2023 | 314.90 Mn |
| Jun 30, 2023 | 333.28 Mn |
| Dec 31, 2022 | 342.12 Mn |
Core Laboratories Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();