Borr Drilling (BORR) EBITDA (2018 - 2026)
Borr Drilling's EBITDA was $47.3 million in the quarter ended Jun 30, 2026, down 65.7% from $138.1 million a year earlier and down 49.8% from the prior quarter.
Borr Drilling (BORR) EBITDA (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Borr Drilling's EBITDA was $392.7 million through Jun 30, 2026, down 21.6% year-over-year; for the year ended Dec 31, 2025, it came in at $490.3 million, down 6.4% from the prior year.
- In earlier years, EBITDA was $523.7 million in the year ended Dec 31, 2024 (+34.2%), $390.1 million in the year ended Dec 31, 2023, $22.5 million in the year ended Dec 31, 2022 (-40.5%) and $37.8 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly EBITDA since the quarter ended Sep 30, 2022.
- Compared with a year earlier, EBITDA has declined for three straight quarters, with an average decline of 7.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Dec 31, 2021 (growth of 410.2%); the worst was the quarter ended Jun 30, 2026 (a decline of 65.7%).
- Per Business Quant data, BORR's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was $94.2 million (quarter ended Mar 31, 2026), $110.6 million (quarter ended Dec 31, 2025) and $140.6 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.52 Bn | 70.45 Bn | 1.40 Bn | 1.78 Bn |
| 2 | Baker Hughes | 55.17 Bn | 18.27 Bn | 1.58 Bn | 1.19 Bn |
| 3 | Halliburton | 28.16 Bn | 19.87 Bn | 804.00 Mn | 1.07 Bn |
| 4 | TechnipFMC | 27.25 Bn | 23.39 Bn | 684.70 Mn | -1.50 Bn |
| 5 | Noble | 6.82 Bn | 4.75 Bn | 239.27 Mn | 170.06 Mn |
| 6 | Nov | 6.80 Bn | 1.54 Bn | 521.00 Mn | 286.00 Mn |
| 7 | Transocean | 6.52 Bn | 4.23 Bn | 358.00 Mn | 310.00 Mn |
| 8 | Valaris | 6.12 Bn | 3.74 Bn | 123.70 Mn | 95.70 Mn |
| 9 | Weatherford International | 5.69 Bn | 1.62 Bn | 333.00 Mn | 178.00 Mn |
| 10 | Borr Drilling | 1.11 Bn | 28.65 Mn | - | 55.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.50 Mn |
| Mar 31, 2026 | 92.50 Mn |
| Dec 31, 2025 | 108.90 Mn |
| Sep 30, 2025 | 138.90 Mn |
| Jun 30, 2025 | 147.70 Mn |
| Mar 31, 2025 | 99.30 Mn |
| Dec 31, 2024 | 139.60 Mn |
| Sep 30, 2024 | 118.60 Mn |
| Jun 30, 2024 | 139.20 Mn |
| Mar 31, 2024 | 119.50 Mn |
| Dec 31, 2023 | 125.20 Mn |
| Sep 30, 2023 | 96.80 Mn |
| Jun 30, 2023 | 91.10 Mn |
| Mar 31, 2023 | 76.00 Mn |
| Dec 31, 2022 | 60.90 Mn |
| Sep 30, 2022 | 34.70 Mn |
| Jun 30, 2022 | -91.90 Mn |
| Mar 31, 2022 | 18.80 Mn |
| Dec 31, 2021 | 25.00 Mn |
| Sep 30, 2021 | 21.50 Mn |
Borr 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=BORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BORR", "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=BORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();