Borr Drilling (BORR) Prepaid Assets (2018 - 2026)
Borr Drilling (BORR) recorded Prepaid Assets of $12.8 million in the quarter ended Jun 30, 2026, down 25.6% from $17.2 million a year earlier and unchanged from the prior quarter.
Borr Drilling (BORR) Prepaid Assets (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Borr Drilling reported Prepaid Assets of $8.3 million, down 1.2% from the prior year.
- Annual Prepaid Assets has a five-year compound annual growth rate of 5.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Prepaid Assets came in at $8.4 million in the year ended Dec 31, 2024 (-23.6%), $11 million in the year ended Dec 31, 2023 (+14.6%), $9.6 million in the year ended Dec 31, 2022 (+45.5%) and $6.6 million in the year ended Dec 31, 2021 (+3.1%).
- Quarterly Prepaid Assets has ranged from $5.7 million in the quarter ended Sep 30, 2021 to $19.9 million in the quarter ended Sep 30, 2022 over the past five years.
- On a year-over-year basis, Prepaid Assets has declined for three consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 249.1% in the quarter ended Sep 30, 2022, against a decline of 49.7% in the quarter ended Sep 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.8 million (quarter ended Mar 31, 2026), $8.3 million (quarter ended Dec 31, 2025) and $12.8 million (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.80 Mn |
| Mar 31, 2026 | 12.80 Mn |
| Dec 31, 2025 | 8.30 Mn |
| Sep 30, 2025 | 12.80 Mn |
| Jun 30, 2025 | 17.20 Mn |
| Mar 31, 2025 | 18.30 Mn |
| Dec 31, 2024 | 8.40 Mn |
| Sep 30, 2024 | 7.20 Mn |
| Jun 30, 2024 | 12.80 Mn |
| Mar 31, 2024 | 15.50 Mn |
| Dec 31, 2023 | 11.00 Mn |
| Sep 30, 2023 | 14.30 Mn |
| Jun 30, 2023 | 9.20 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 9.60 Mn |
| Sep 30, 2022 | 19.90 Mn |
| Jun 30, 2022 | 11.20 Mn |
| Mar 31, 2022 | 12.50 Mn |
| Dec 31, 2021 | 6.60 Mn |
| Sep 30, 2021 | 5.70 Mn |
Borr Drilling Prepaid Assets 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=prepaid-assets&ticker=BORR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=BORR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();