Nabors Industries (NBR) Cash & Equivalents (2009 - 2026)
Nabors Industries' Cash & Equivalents came in at $475.15 million for Q3 2026, up 11.0% from $428.05 million a year earlier but down 6.8% from the prior quarter.
Nabors Industries (NBR) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Nabors Industries' Cash & Equivalents was $940.71 million, up 141.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $389.65 million in FY2024 (-63.2%), $1.06 billion in FY2023 (+134.5%), $451.03 million in FY2022 (-54.5%) and $991.47 million in FY2021 (+109.9%).
- The five-year range for quarterly Cash & Equivalents is $387.32 million (Q2 2025) to $1.06 billion (Q4 2023).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 15.1% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2025 (growth of 141.4%), and the weakest in Q4 2024 (a decline of 63.2%).
- Business Quant data shows NBR's Cash & Equivalents at $509.78 million (Q2 2026), $500.81 million (Q1 2026) and $940.71 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 74.69 Bn | 71.14 Bn | 1.57 Bn | 2.62 Bn |
| 2 | Baker Hughes | 48.29 Bn | 10.02 Bn | 1.96 Bn | 4.07 Bn |
| 3 | Halliburton | 26.55 Bn | 18.45 Bn | 840.00 Mn | 1.84 Bn |
| 4 | TechnipFMC | 25.06 Bn | 21.03 Bn | 728.70 Mn | 1.05 Bn |
| 5 | Noble | 6.56 Bn | 4.63 Bn | 228.22 Mn | 337.19 Mn |
| 6 | Nov | 6.32 Bn | 1.21 Bn | 439.00 Mn | 1.06 Bn |
| 7 | Weatherford International | 6.16 Bn | 1.90 Bn | 374.00 Mn | 1.16 Bn |
| 8 | Transocean | 5.81 Bn | 3.85 Bn | 348.00 Mn | 499.00 Mn |
| 9 | Valaris | 5.47 Bn | 3.23 Bn | 176.30 Mn | 525.10 Mn |
| 10 | Nabors Industries | 1.11 Bn | -1.31 Bn | 339.76 Mn | 475.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 475.07 Mn |
| Jun 30, 2026 | 509.78 Mn |
| Mar 31, 2026 | 500.81 Mn |
| Dec 31, 2025 | 940.71 Mn |
| Sep 30, 2025 | 428.05 Mn |
| Jun 30, 2025 | 387.32 Mn |
| Mar 31, 2025 | 396.47 Mn |
| Dec 31, 2024 | 389.65 Mn |
| Sep 30, 2024 | 451.65 Mn |
| Jun 30, 2024 | 465.95 Mn |
| Mar 31, 2024 | 412.86 Mn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 387.48 Mn |
| Jun 30, 2023 | 413.38 Mn |
| Mar 31, 2023 | 469.44 Mn |
| Dec 31, 2022 | 451.03 Mn |
| Sep 30, 2022 | 420.31 Mn |
| Jun 30, 2022 | 412.98 Mn |
| Mar 31, 2022 | 394.03 Mn |
| Dec 31, 2021 | 991.47 Mn |
Nabors Industries Cash & Equivalents 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=cash-and-equivalents&ticker=NBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "NBR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();