Precision Drilling (PDS) EBITDA (2009 - 2026)
Precision Drilling (PDS) posted EBITDA of $148.37 million for Q3 2026, up 3.6% from $143.23 million a year earlier and up 14.2% from the prior quarter.
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Analysis
Precision Drilling (PDS) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Precision Drilling was $584.29 million, up 2.8% year-over-year; for FY2025, it came in at $577.96 million, down 4.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 23.0% (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 (+19.8%) and $379.11 million in FY2021 (+84.5%).
- Quarterly EBITDA has run from a low of $83.14 million in Q1 2022 to a high of $203.24 million in Q1 2023 over five years.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with an average decline of 3.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 144.5%; the weakest was Q1 2024, with a decline of 19.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $129.93 million (Q2 2026), $151.88 million (Q1 2026) and $154.11 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.30 Bn | 73.91 Bn | 1.57 Bn | 1.84 Bn |
| 2 | Baker Hughes | 49.10 Bn | 11.25 Bn | 1.96 Bn | 1.98 Bn |
| 3 | Halliburton | 27.94 Bn | 19.88 Bn | 840.00 Mn | 920.00 Mn |
| 4 | TechnipFMC | 25.83 Bn | 21.81 Bn | 728.70 Mn | 627.30 Mn |
| 5 | Noble | 6.97 Bn | 5.04 Bn | 228.22 Mn | 203.52 Mn |
| 6 | Nov | 6.45 Bn | 1.39 Bn | 439.00 Mn | 235.00 Mn |
| 7 | Weatherford International | 6.27 Bn | 2.04 Bn | 374.00 Mn | 223.00 Mn |
| 8 | Transocean | 6.19 Bn | 4.23 Bn | 348.00 Mn | 298.00 Mn |
| 9 | Valaris | 5.84 Bn | 3.59 Bn | 176.30 Mn | 128.60 Mn |
| 10 | Precision Drilling | 1.32 Bn | 1.17 Bn | 111.41 Mn | 148.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 148.37 Mn |
| 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 |
API Access
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_KEYimport 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();