Borr Drilling (BORR) Accumulated Expenses (2018 - 2026)
Borr Drilling's Accumulated Expenses was $89.1 million in the quarter ended Jun 30, 2026, up 37.1% from $65 million a year earlier and up 18.2% from the prior quarter.
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Analysis
Borr Drilling (BORR) Accumulated Expenses (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Borr Drilling came in at $76 million, up 11.8% from the prior year.
- Accumulated Expenses shows a five-year compound annual growth rate of 8.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $68 million in the year ended Dec 31, 2024 (-11.7%), $77 million in the year ended Dec 31, 2023 (-4.7%), $80.8 million in the year ended Dec 31, 2022 (+77.2%) and $45.6 million in the year ended Dec 31, 2021 (-11.8%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Accumulated Expenses since the quarter ended Jun 30, 2023.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Jun 30, 2022 (growth of 173.3%); the worst was the quarter ended Jun 30, 2023 (a decline of 41.8%).
- Per Business Quant data, BORR's Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $75.4 million (quarter ended Mar 31, 2026), $76 million (quarter ended Dec 31, 2025) and $71.7 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn |
| 10 | Borr Drilling | 1.20 Bn | 117.97 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.10 Mn |
| Mar 31, 2026 | 75.40 Mn |
| Dec 31, 2025 | 76.00 Mn |
| Sep 30, 2025 | 71.70 Mn |
| Jun 30, 2025 | 65.00 Mn |
| Mar 31, 2025 | 59.60 Mn |
| Dec 31, 2024 | 68.00 Mn |
| Sep 30, 2024 | 75.30 Mn |
| Jun 30, 2024 | 69.70 Mn |
| Mar 31, 2024 | 66.80 Mn |
| Dec 31, 2023 | 77.00 Mn |
| Sep 30, 2023 | 71.60 Mn |
| Jun 30, 2023 | 90.60 Mn |
| Mar 31, 2023 | 84.70 Mn |
| Dec 31, 2022 | 80.80 Mn |
| Sep 30, 2022 | 72.10 Mn |
| Jun 30, 2022 | 155.80 Mn |
| Mar 31, 2022 | 129.10 Mn |
| Dec 31, 2021 | 45.60 Mn |
| Sep 30, 2021 | 67.50 Mn |
API Access
Borr Drilling Accumulated Expenses 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=accumulated-expenses&ticker=BORR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();