Precision Drilling (PDS) Total Current Liabilities (2009 - 2026)
Precision Drilling (PDS) reported Total Current Liabilities of $238.73 million for Q3 2026, up 16.7% from $204.57 million a year earlier and up 5.2% from the prior quarter.
Precision Drilling (PDS) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Precision Drilling posted Total Current Liabilities of $219.14 million, down 7.2% from FY2024.
- Total Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $236.03 million in FY2024 (-16.5%), $282.71 million in FY2023 (-6.6%), $302.56 million in FY2022 (+61.9%) and $186.84 million in FY2021 (+42.8%).
- The Q3 2026 figure ranks as the highest quarterly Total Current Liabilities since Q2 2025.
- Year over year, Total Current Liabilities gained in three of the last eight quarters, with growth averaging 2.4%.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2025 (growth of 70.7%); the low point was Q1 2026 (a decline of 42.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $227.01 million (Q2 2026), $213.19 million (Q1 2026) and $219.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 14.76 Bn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | 17.48 Bn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | 6.01 Bn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | 5.44 Bn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | 716.76 Mn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 2.32 Bn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 1.68 Bn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | 1.30 Bn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | 768.80 Mn |
| 10 | Precision Drilling | 1.32 Bn | 1.17 Bn | 111.41 Mn | 238.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 238.73 Mn |
| Jun 30, 2026 | 227.01 Mn |
| Mar 31, 2026 | 213.19 Mn |
| Dec 31, 2025 | 219.14 Mn |
| Sep 30, 2025 | 204.57 Mn |
| Jun 30, 2025 | 297.74 Mn |
| Mar 31, 2025 | 367.70 Mn |
| Dec 31, 2024 | 236.03 Mn |
| Sep 30, 2024 | 226.58 Mn |
| Jun 30, 2024 | 227.37 Mn |
| Mar 31, 2024 | 215.38 Mn |
| Dec 31, 2023 | 282.71 Mn |
| Sep 30, 2023 | 222.12 Mn |
| Jun 30, 2023 | 210.00 Mn |
| Mar 31, 2023 | 197.15 Mn |
| Dec 31, 2022 | 302.56 Mn |
| Sep 30, 2022 | 246.66 Mn |
| Jun 30, 2022 | 219.84 Mn |
| Mar 31, 2022 | 184.42 Mn |
| Dec 31, 2021 | 186.84 Mn |
Precision Drilling Total 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-current-liabilities&ticker=PDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();