Precision Drilling (PDS) Cost of Revenue (2009 - 2026)
Precision Drilling (PDS) reported Cost of Revenue of $268.37 million for Q3 2026, up 17.7% from $228.04 million a year earlier and up 12.7% from the prior quarter.
Precision Drilling (PDS) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Precision Drilling's Cost of Revenue came in at $1 billion, up 13.9% year-over-year; for FY2025, it was $887.24 million, down 2.7% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $912.04 million in FY2024 (+2.2%), $892.77 million in FY2023 (+3.2%), $865 million in FY2022 (+55.3%) and $557.09 million in FY2021 (+27.9%).
- The Q3 2026 figure ranks as the highest quarterly Cost of Revenue since Q4 2014.
- Year over year, Cost of Revenue has now increased in each of the last four quarters, with growth averaging 4.8% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q4 2021 (growth of 74.8%); the low point was Q1 2025 (a decline of 9.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $238.05 million (Q2 2026), $262.78 million (Q1 2026) and $231.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 7.88 Bn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | 6.07 Bn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | 4.86 Bn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | 2.17 Bn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | 500.54 Mn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 1.79 Bn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 769.00 Mn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | 589.00 Mn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | 417.30 Mn |
| 10 | Precision Drilling | 1.32 Bn | 1.17 Bn | 111.41 Mn | 268.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 268.37 Mn |
| Jun 30, 2026 | 238.05 Mn |
| Mar 31, 2026 | 262.78 Mn |
| Dec 31, 2025 | 231.63 Mn |
| Sep 30, 2025 | 228.04 Mn |
| Jun 30, 2025 | 197.57 Mn |
| Mar 31, 2025 | 229.33 Mn |
| Dec 31, 2024 | 223.56 Mn |
| Sep 30, 2024 | 228.32 Mn |
| Jun 30, 2024 | 208.67 Mn |
| Mar 31, 2024 | 251.95 Mn |
| Dec 31, 2023 | 232.49 Mn |
| Sep 30, 2023 | 214.83 Mn |
| Jun 30, 2023 | 193.68 Mn |
| Mar 31, 2023 | 251.40 Mn |
| Dec 31, 2022 | 250.63 Mn |
| Sep 30, 2022 | 218.42 Mn |
| Jun 30, 2022 | 188.67 Mn |
| Mar 31, 2022 | 204.45 Mn |
| Dec 31, 2021 | 168.30 Mn |
Precision Drilling Cost of Revenue 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=cost-of-revenue&ticker=PDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();