Power Solutions International (PSIX) Price to Book (2012 - 2026)
Power Solutions International's (PSIX) Price to Book stood at 4.55 in Q3 2026, down 67.3% from 13.93 a year earlier but up 3.1% from the prior quarter.
Power Solutions International (PSIX) Price to Book (2012 - 2026) Analysis & Trends
For FY2025, Power Solutions International's Price to Book came in at 7.37, down 29.7% from FY2024.
- Across earlier years, Price to Book came in at 10.49 in FY2024.
- Quarterly Price to Book has ranged from 4.41 in Q2 2026 to 16.31 in Q1 2024 over the past five years.
- On a year-over-year basis, Price to Book rose in three of the last seven quarters, with an average decline of 13.6%.
- Per Business Quant, the preceding three quarters came in at 4.41 (Q2 2026), 7.55 (Q1 2026) and 7.37 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn |
| 10 | Power Solutions International | 896.81 Mn | 668.36 Mn | 59.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.55 |
| Jun 30, 2026 | 4.41 |
| Mar 31, 2026 | 7.55 |
| Dec 31, 2025 | 7.37 |
| Sep 30, 2025 | 13.93 |
| Jun 30, 2025 | 10.97 |
| Mar 31, 2025 | 6.90 |
| Dec 31, 2024 | 10.49 |
| Sep 30, 2024 | 11.22 |
| Jun 30, 2024 | 5.91 |
| Mar 31, 2024 | 16.31 |
| Dec 31, 2020 | 12.39 |
| Sep 30, 2020 | 7.72 |
| Jun 30, 2020 | 8.83 |
| Mar 31, 2020 | 3.76 |
| Dec 31, 2019 | 6.34 |
| Sep 30, 2019 | 8.23 |
| Jun 30, 2019 | 15.46 |
| Jun 30, 2018 | 20.00 |
| Mar 31, 2018 | 6.68 |
Power Solutions International 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=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PSIX", "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=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();