Phinia (PHIN) Price to Book (2023 - 2026)
Phinia's (PHIN) Price to Book stood at 1.96 in Q2 2026, up 84.1% from 1.06 a year earlier and up 19.7% from the prior quarter.
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Analysis
Phinia (PHIN) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Phinia's Price to Book came in at 1.50, up 17.5% from FY2024.
- Across earlier years, Price to Book came in at 1.27 in FY2024 (+72.0%) and 0.74 in FY2023.
- The Q2 2026 figure is the highest quarterly Price to Book in data going back to Q2 2023.
- On a year-over-year basis, Price to Book has increased for nine consecutive quarters, with growth averaging 42.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Price to Book ranged from 8.1% (Q2 2025) to 84.1% (Q2 2026).
- Per Business Quant, the preceding three quarters came in at 1.64 (Q1 2026), 1.50 (Q4 2025) and 1.39 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Phinia | 2.18 Bn | 769.57 Mn | 216.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.96 |
| Mar 31, 2026 | 1.64 |
| Dec 31, 2025 | 1.50 |
| Sep 30, 2025 | 1.39 |
| Jun 30, 2025 | 1.06 |
| Mar 31, 2025 | 1.10 |
| Dec 31, 2024 | 1.27 |
| Sep 30, 2024 | 1.14 |
| Jun 30, 2024 | 0.98 |
| Mar 31, 2024 | 0.95 |
| Dec 31, 2023 | 0.74 |
| Sep 30, 2023 | 0.66 |
| Jun 30, 2023 | 0.74 |
API Access
Phinia 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=PHIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PHIN", "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=PHIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();