Nabors Industries (NBR) Price to Earnings (2009 - 2026)
Nabors Industries' (NBR) Price to Earnings was 5.43 for Q2 2026, down 5.7% from the prior quarter.
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Analysis
Nabors Industries (NBR) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Nabors Industries was 2.50.
- Five-year quarterly Price to Earnings spans a low of 2.50 in Q4 2025 and a high of 5.76 in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at 5.76 (Q1 2026), 2.50 (Q4 2025) and 2.99 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 77.80 Bn | 73.73 Bn | 1.40 Bn |
| 2 | Baker Hughes | 55.02 Bn | 18.12 Bn | 1.58 Bn |
| 3 | Halliburton | 29.06 Bn | 20.77 Bn | 804.00 Mn |
| 4 | TechnipFMC | 27.62 Bn | 23.76 Bn | 684.70 Mn |
| 5 | Noble | 7.54 Bn | 5.47 Bn | 239.27 Mn |
| 6 | Transocean | 7.21 Bn | 4.92 Bn | 358.00 Mn |
| 7 | Nov | 7.03 Bn | 1.76 Bn | 521.00 Mn |
| 8 | Valaris | 6.76 Bn | 4.38 Bn | 123.70 Mn |
| 9 | Weatherford International | 6.20 Bn | 1.94 Bn | 374.00 Mn |
| 10 | Nabors Industries | 1.16 Bn | -1.22 Bn | 309.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.43 |
| Mar 31, 2026 | 5.76 |
| Dec 31, 2025 | 2.50 |
| Sep 30, 2025 | 2.99 |
| Mar 31, 2018 | 437.41 |
| Dec 31, 2017 | 197.06 |
| Sep 30, 2017 | 1,215.71 |
| Sep 30, 2014 | 887.79 |
| Jun 30, 2014 | 2,758.24 |
| Mar 31, 2014 | 4,038.34 |
| Dec 31, 2013 | 1,799.40 |
| Sep 30, 2013 | 2,015.86 |
| Jun 30, 2013 | 784.81 |
| Mar 31, 2013 | 1,227.39 |
| Dec 31, 2012 | 836.46 |
| Sep 30, 2012 | 963.95 |
| Jun 30, 2012 | 897.43 |
| Mar 31, 2012 | 631.95 |
| Dec 31, 2011 | 761.39 |
| Sep 30, 2011 | 605.60 |
API Access
Nabors Industries Price to Earnings 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-earnings&ticker=NBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=NBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();