Borr Drilling (BORR) Receivables (2018 - 2026)
Borr Drilling's Receivables was $304.6 million in the quarter ended Jun 30, 2026, up 1.7% from $299.6 million a year earlier but down 14.1% from the prior quarter.
Borr Drilling (BORR) Receivables (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables at Borr Drilling came in at $327 million, down 13.3% from the prior year.
- Receivables shows a five-year compound annual growth rate of 10.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables was $377.1 million in the year ended Dec 31, 2024 (+17.9%), $319.9 million in the year ended Dec 31, 2023 (-13.8%), $371 million in the year ended Dec 31, 2022 (+381.2%) and $77.1 million in the year ended Dec 31, 2021 (-60.4%).
- Quarterly Receivables has moved between $47.8 million (the quarter ended Sep 30, 2021) and $377.1 million (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Receivables was higher in seven of the last eight quarters, with growth averaging 34.8%.
- The best year-over-year quarter for Receivables over five years was the quarter ended Dec 31, 2022 (growth of 370.6%); the worst was the quarter ended Dec 31, 2021 (a decline of 60.4%).
- Per Business Quant data, BORR's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $354.6 million (quarter ended Mar 31, 2026), $324.7 million (quarter ended Dec 31, 2025) and $349.8 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 9.13 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 8.60 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 2.78 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 5.33 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 2.48 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 547.81 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 1.19 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 604.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 467.60 Mn |
| 10 | Borr Drilling | 1.23 Bn | 154.83 Mn | - | 304.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304.60 Mn |
| Mar 31, 2026 | 354.60 Mn |
| Dec 31, 2025 | 324.70 Mn |
| Sep 30, 2025 | 349.80 Mn |
| Jun 30, 2025 | 299.60 Mn |
| Mar 31, 2025 | 255.10 Mn |
| Dec 31, 2024 | 377.10 Mn |
| Sep 30, 2024 | 247.10 Mn |
| Jun 30, 2024 | 282.30 Mn |
| Mar 31, 2024 | 169.90 Mn |
| Dec 31, 2023 | 279.40 Mn |
| Sep 30, 2023 | 112.80 Mn |
| Jun 30, 2023 | 135.70 Mn |
| Mar 31, 2023 | 105.60 Mn |
| Dec 31, 2022 | 362.80 Mn |
| Sep 30, 2022 | 68.90 Mn |
| Jun 30, 2022 | 100.50 Mn |
| Mar 31, 2022 | 54.90 Mn |
| Dec 31, 2021 | 77.10 Mn |
| Sep 30, 2021 | 47.80 Mn |
Borr Drilling Receivables 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=receivables&ticker=BORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();