Enerflex (EFXT) Price to Book (2021 - 2026)
Enerflex's Price to Book was 2.55 in the quarter ended Jun 30, 2026, up 111.9% from 1.20 a year earlier.
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Analysis
Enerflex (EFXT) Price to Book (2021 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Book at Enerflex came in at 2.40, up 49.0% from the prior year.
- Price to Book has now increased for four consecutive years.
- In earlier years, Price to Book was 1.61 in the year ended Dec 31, 2024 (+117.6%), 0.74 in the year ended Dec 31, 2023 (+43.4%), 0.52 in the year ended Dec 31, 2022 (+2.9%) and 0.50 in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Price to Book in data going back to the quarter ended Dec 31, 2021.
- Across the past five years, year-over-year growth in Price to Book ran from 6.8% in the quarter ended Dec 31, 2022 to 165.3% in the quarter ended Sep 30, 2024.
Peer Set
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 | Enerflex | 2.77 Bn | 2.54 Bn | 139.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.55 |
| Dec 31, 2025 | 2.40 |
| Sep 30, 2025 | 1.59 |
| Jun 30, 2025 | 1.20 |
| Mar 31, 2025 | 1.28 |
| Dec 31, 2024 | 1.64 |
| Sep 30, 2024 | 0.95 |
| Jun 30, 2024 | 0.89 |
| Mar 31, 2024 | 0.95 |
| Dec 31, 2023 | 0.75 |
| Sep 30, 2023 | 0.36 |
| Jun 30, 2023 | 0.43 |
| Mar 31, 2023 | 0.37 |
| Dec 31, 2022 | 0.54 |
| Sep 30, 2022 | 0.27 |
| Dec 31, 2021 | 0.51 |
API Access
Enerflex Price to Book 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-book&ticker=EFXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "EFXT", "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-book&ticker=EFXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();