Energys (ENGS) Price to Book (2025)
Energys' (ENGS) Price to Book came in at 84.55 for the quarter ended Dec 31, 2025.
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Analysis
Energys (ENGS) Price to Book (2025) Analysis & Trends
For the year ended Jun 30, 2025, Energys' Price to Book stood at 12.20.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 98.45 Bn | 93.17 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 87.04 Bn | 84.77 Bn | 2.47 Bn |
| 3 | Carrier Global | 46.01 Bn | 40.32 Bn | 1.94 Bn |
| 4 | Comfort Systems Usa | 45.33 Bn | 40.58 Bn | 844.23 Mn |
| 5 | Otis Worldwide | 28.61 Bn | 25.03 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.41 Bn | 14.48 Bn | 548.70 Mn |
| 7 | Masco | 15.33 Bn | 13.19 Bn | 868.00 Mn |
| 8 | Allegion | 14.79 Bn | 13.50 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 14.08 Bn | 10.43 Bn | 568.40 Mn |
| 10 | Energys | 52.73 Mn | 51.91 Mn | - |
API Access
Energys 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=ENGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ENGS", "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=ENGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();