Precision Drilling (PDS) Income Taxes Paid (2009 - 2026)
Precision Drilling's Income Taxes Paid was $8.14 million in Q3 2026, down 66.8% from $24.49 million a year earlier but up 179.0% from the prior quarter.
Precision Drilling (PDS) Income Taxes Paid (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Precision Drilling's Income Taxes Paid was $15.31 million through Sep 30, 2026, down 65.6% year-over-year; for FY2025, it came in at $37.81 million, up 701.4% from FY2024.
- Income Taxes Paid shows a five-year compound annual growth rate of 50.9% (FY2020 to FY2025).
- In earlier years, Income Taxes Paid was $4.72 million in FY2024 (+105.1%), $2.3 million in FY2023 (-8.4%), $2.51 million in FY2022 (-47.6%) and $4.79 million in FY2021 (-0.9%).
- Quarterly Income Taxes Paid has moved between -$50.39 million (Q4 2023) and $24.49 million (Q3 2025) over five years.
- Compared with a year earlier, Income Taxes Paid has declined for three straight quarters, with an average decline of 5.0% over the last six quarters.
- The best year-over-year quarter for Income Taxes Paid over five years was Q2 2023 (growth of 365.8%); the worst was Q4 2021 (a decline of 91.3%).
- Per Business Quant data, PDS's Income Taxes Paid in the three quarters before Q3 2026 was $2.92 million (Q2 2026), $6.72 million (Q1 2026) and -$2.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | - |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | 288.00 Mn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | 112.00 Mn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | - |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | - |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 23.00 Mn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 45.00 Mn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | - |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | - |
| 10 | Precision Drilling | 1.32 Bn | 1.17 Bn | 111.41 Mn | 8.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.14 Mn |
| Jun 30, 2026 | 2.92 Mn |
| Mar 31, 2026 | 6.72 Mn |
| Dec 31, 2025 | -2.47 Mn |
| Sep 30, 2025 | 24.49 Mn |
| Jun 30, 2025 | 5.97 Mn |
| Mar 31, 2025 | 9.97 Mn |
| Dec 31, 2024 | 4.09 Mn |
| Sep 30, 2024 | 10.17 Mn |
| Jun 30, 2024 | 7.69 Mn |
| Mar 31, 2024 | 9.74 Mn |
| Dec 31, 2023 | -50.39 Mn |
| Sep 30, 2023 | 5.89 Mn |
| Jun 30, 2023 | 13.98 Mn |
| Mar 31, 2023 | 13.65 Mn |
| Dec 31, 2022 | 6.84 Mn |
| Sep 30, 2022 | 4.85 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 562,895.96 |
| Dec 31, 2021 | 529,155.17 |
Precision Drilling Income Taxes Paid 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=income-taxes-paid&ticker=PDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=PDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();