Precision Drilling (PDS) EBITDA (2009 - 2026)
Precision Drilling (PDS) posted EBITDA of $62.04 million for Q2 2026, down 13.7% from $71.89 million a year earlier and down 23.6% from the prior quarter.
Precision Drilling (PDS) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Precision Drilling was $251.79 million, down 22.8% year-over-year; for FY2025, it came in at $267.55 million, down 55.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- In prior years, Precision Drilling's EBITDA was $606.62 million in FY2024 (-9.9%), $673.48 million in FY2023 (+48.2%), $454.3 million in FY2022 (+182.8%) and $160.62 million in FY2021 (-21.9%).
- Quarterly EBITDA has run from a low of $30.99 million in Q4 2025 to a high of $144.92 million in Q3 2022 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last seven quarters, with an average decline of 15.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 332.4%; the weakest was Q4 2025, with a decline of 57.9%.
- According to Business Quant data, EBITDA for the three prior quarters was $81.23 million (Q1 2026), $30.99 million (Q4 2025) and $77.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.12 Bn | 72.05 Bn | 1.40 Bn | 1.78 Bn |
| 2 | Baker Hughes | 55.58 Bn | 18.68 Bn | 1.58 Bn | 1.19 Bn |
| 3 | Halliburton | 28.36 Bn | 20.08 Bn | 804.00 Mn | 1.07 Bn |
| 4 | TechnipFMC | 27.79 Bn | 23.92 Bn | 684.70 Mn | -1.50 Bn |
| 5 | Noble | 7.02 Bn | 4.96 Bn | 239.27 Mn | 170.06 Mn |
| 6 | Nov | 6.92 Bn | 1.66 Bn | 521.00 Mn | 286.00 Mn |
| 7 | Transocean | 6.76 Bn | 4.47 Bn | 358.00 Mn | 310.00 Mn |
| 8 | Valaris | 6.36 Bn | 3.97 Bn | 123.70 Mn | 95.70 Mn |
| 9 | Weatherford International | 6.16 Bn | 2.09 Bn | 333.00 Mn | 178.00 Mn |
| 10 | Precision Drilling | 1.23 Bn | 1.06 Bn | 89.29 Mn | 129.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.93 Mn |
| Mar 31, 2026 | 151.88 Mn |
| Dec 31, 2025 | 154.11 Mn |
| Sep 30, 2025 | 143.23 Mn |
| Jun 30, 2025 | 132.04 Mn |
| Mar 31, 2025 | 148.12 Mn |
| Dec 31, 2024 | 145.13 Mn |
| Sep 30, 2024 | 159.44 Mn |
| Jun 30, 2024 | 138.14 Mn |
| Mar 31, 2024 | 164.28 Mn |
| Dec 31, 2023 | 168.92 Mn |
| Sep 30, 2023 | 140.06 Mn |
| Jun 30, 2023 | 160.94 Mn |
| Mar 31, 2023 | 203.24 Mn |
| Dec 31, 2022 | 119.69 Mn |
| Sep 30, 2022 | 144.92 Mn |
| Jun 30, 2022 | 104.99 Mn |
| Mar 31, 2022 | 83.14 Mn |
| Dec 31, 2021 | 107.15 Mn |
| Sep 30, 2021 | 91.23 Mn |
Precision Drilling EBITDA 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=ebitda&ticker=PDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();