Nabors Industries (NBR) Price to FCF (2009 - 2026)
Nabors Industries' (NBR) Price to FCF stood at 33.82 in Q2 2026, down 92.8% from the prior quarter.
Analysis
Nabors Industries (NBR) Price to FCF (2009 - 2026) Analysis & Trends
For FY2024, Nabors Industries' Price to FCF came in at 45.54, up 409.0% from FY2023.
- Across earlier years, Price to FCF came in at 8.95 in FY2023 (-22.0%), 11.47 in FY2022 (+221.5%), 3.57 in FY2021 (+28.5%) and 2.78 in FY2020 (-98.7%).
- The Q2 2026 figure is the lowest quarterly Price to FCF since Q3 2024.
- Peak year-over-year performance for Price to FCF in the last five years was growth of 522.1% in Q3 2021, against a decline of 61.8% in Q2 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 73.58 Bn | 70.69 Bn | 1.40 Bn |
| 2 | Baker Hughes | 53.23 Bn | 16.50 Bn | 1.58 Bn |
| 3 | Halliburton | 27.65 Bn | 19.41 Bn | 804.00 Mn |
| 4 | TechnipFMC | 26.24 Bn | 22.39 Bn | 684.70 Mn |
| 5 | Noble | 7.02 Bn | 4.95 Bn | 239.27 Mn |
| 6 | Transocean | 6.79 Bn | 4.50 Bn | 358.00 Mn |
| 7 | Nov | 6.71 Bn | 1.50 Bn | 521.00 Mn |
| 8 | Valaris | 6.40 Bn | 4.01 Bn | 123.70 Mn |
| 9 | Weatherford International | 5.89 Bn | 1.66 Bn | 374.00 Mn |
| 10 | Nabors Industries | 1.24 Bn | -639.27 Mn | 309.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.82 |
| Mar 31, 2026 | 470.30 |
| Dec 31, 2024 | 45.54 |
| Sep 30, 2024 | 5.73 |
| Jun 30, 2024 | 8.03 |
| Mar 31, 2024 | 14.33 |
| Dec 31, 2023 | 8.95 |
| Sep 30, 2023 | 7.88 |
| Jun 30, 2023 | 4.79 |
| Mar 31, 2023 | 5.65 |
| Dec 31, 2022 | 11.47 |
| Sep 30, 2022 | 12.38 |
| Jun 30, 2022 | 12.54 |
| Mar 31, 2022 | 12.70 |
| Dec 31, 2021 | 3.57 |
| Sep 30, 2021 | 3.86 |
| Jun 30, 2021 | 6.09 |
| Mar 31, 2021 | 3.59 |
| Dec 31, 2020 | 2.78 |
| Sep 30, 2020 | 0.62 |
API Access
Nabors Industries Price to FCF 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=price-to-fcf&ticker=NBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();