Precision Drilling (PDS) Total Non-Current Liabilities (2009 - 2026)
Precision Drilling (PDS) recorded Total Non-Current Liabilities of $577.3 million in Q2 2026, up 19.3% from $483.76 million a year earlier but down 4.4% from the prior quarter.
Precision Drilling (PDS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Precision Drilling reported Total Non-Current Liabilities of $599.56 million, down 12.3% from FY2024.
- Annual Total Non-Current Liabilities has declined for 11 straight years, with a five-year compound annual growth rate of -9.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $683.38 million in FY2024 (-13.8%), $792.58 million in FY2023 (-16.6%), $950.35 million in FY2022 (-0.6%) and $956.01 million in FY2021 (-3.4%).
- Quarterly Total Non-Current Liabilities has ranged from $480.13 million in Q1 2025 to $1.04 billion in Q3 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 9.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 25.7% in Q1 2026, against a decline of 39.5% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $603.74 million (Q1 2026), $600.71 million (Q4 2025) and $616.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 26.35 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 31.14 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 6.73 Bn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 14.12 Bn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 4.69 Bn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 2.51 Bn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 5.59 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 3.10 Bn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 1.89 Bn |
| 10 | Precision Drilling | 1.07 Bn | 908.98 Mn | - | 577.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 577.30 Mn |
| Mar 31, 2026 | 603.74 Mn |
| Dec 31, 2025 | 600.71 Mn |
| Sep 30, 2025 | 616.87 Mn |
| Jun 30, 2025 | 483.76 Mn |
| Mar 31, 2025 | 480.13 Mn |
| Dec 31, 2024 | 669.77 Mn |
| Sep 30, 2024 | 675.00 Mn |
| Jun 30, 2024 | 709.40 Mn |
| Mar 31, 2024 | 794.18 Mn |
| Dec 31, 2023 | 785.49 Mn |
| Sep 30, 2023 | 839.03 Mn |
| Jun 30, 2023 | 823.19 Mn |
| Mar 31, 2023 | 950.67 Mn |
| Dec 31, 2022 | 910.24 Mn |
| Sep 30, 2022 | 1.04 Bn |
| Jun 30, 2022 | 974.22 Mn |
| Mar 31, 2022 | 1.00 Bn |
| Dec 31, 2021 | 950.48 Mn |
| Sep 30, 2021 | 996.43 Mn |
Precision Drilling 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=PDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "PDS", "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=PDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();