Veralto (VLTO) Price to Book (2023 - 2026)
Veralto's Price to Book was 7.30 in Q2 2026, down 24.6% from 9.67 a year earlier but up 1.5% from the prior quarter.
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Analysis
Veralto (VLTO) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Price to Book at Veralto came in at 7.98, down 35.2% from FY2024.
- In earlier years, Price to Book was 12.32 in FY2024 (-15.6%) and 14.59 in FY2023.
- Quarterly Price to Book has moved between 7.19 (Q1 2026) and 14.71 (Q1 2024) over five years.
- Compared with a year earlier, Price to Book has declined for seven straight quarters, with an average decline of 28.5% over the last seven quarters.
- Per Business Quant data, VLTO's Price to Book in the three quarters before Q2 2026 was 7.19 (Q1 2026), 7.98 (Q4 2025) and 9.34 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - |
| 10 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 7.30 |
| Apr 3, 2026 | 7.19 |
| Dec 31, 2025 | 7.98 |
| Oct 3, 2025 | 9.34 |
| Jul 4, 2025 | 9.67 |
| Apr 4, 2025 | 9.53 |
| Dec 31, 2024 | 12.32 |
| Sep 27, 2024 | 13.91 |
| Jun 28, 2024 | 14.11 |
| Mar 29, 2024 | 14.71 |
| Dec 31, 2023 | 14.59 |
API Access
Veralto 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=VLTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VLTO", "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=VLTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();