Forgent Power Solutions (FPS) Price to Book (2026)
Forgent Power Solutions' Price to Book came in at 22.84 for fiscal Q4 2026 (quarter ended Jun 30, 2026).
Analysis
Forgent Power Solutions (FPS) Price to Book (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 336.28 Bn | 307.98 Bn | 7.76 Bn |
| 2 | Amphenol | 195.56 Bn | 190.14 Bn | 3.55 Bn |
| 3 | Deere | 172.92 Bn | 141.02 Bn | 4.66 Bn |
| 4 | Eaton | 151.86 Bn | 149.05 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.65 Bn | 119.78 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.10 Bn | 82.83 Bn | 2.66 Bn |
| 7 | 3M | 85.43 Bn | 66.83 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 79.38 Bn | 70.00 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 77.99 Bn | 74.55 Bn | 1.90 Bn |
| 10 | Forgent Power Solutions | 7.68 Bn | 7.68 Bn | - |
API Access
Forgent Power Solutions 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=FPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "FPS", "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=FPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();