Precision Drilling (PDS) Total Current Liabilities (2009 - 2026)
Precision Drilling (PDS) reported Total Current Liabilities of $233.18 million for Q2 2026, down 20.7% from $293.99 million a year earlier but up 7.7% 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 $214.79 million, down 13.2% from FY2024.
- Total Current Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $247.38 million in FY2024 (-10.8%), $277.2 million in FY2023 (-12.1%), $315.38 million in FY2022 (+66.0%) and $190.01 million in FY2021 (+52.6%).
- Five-year quarterly Total Current Liabilities spans a low of $168.54 million in Q3 2021 and a high of $366.68 million in Q1 2025.
- Year over year, Total Current Liabilities has now declined in each of the last four quarters, with growth averaging 0.8% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2025 (growth of 69.5%); the low point was Q1 2026 (a decline of 40.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $216.53 million (Q1 2026), $215.2 million (Q4 2025) and $206.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | 14.07 Bn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | 14.60 Bn |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | 5.89 Bn |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | 5.46 Bn |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 613.82 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 2.39 Bn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 1.20 Bn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | 774.80 Mn |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 1.41 Bn |
| 10 | Precision Drilling | 1.23 Bn | 1.06 Bn | 89.29 Mn | 227.01 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 166.35 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();