Veralto (VLTO) Price to Earnings (2023 - 2026)
Veralto's Price to Earnings was 23.08 in Q3 2026, down 20.8% from 29.14 a year earlier but up 0.9% from the prior quarter.
Analysis
Veralto (VLTO) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Veralto came in at 26.37, down 12.8% from FY2024.
- In earlier years, Price to Earnings was 30.25 in FY2024 (+25.2%) and 24.16 in FY2023.
- Quarterly Price to Earnings has moved between 22.31 (Q1 2026) and 33.83 (Q3 2024) over five years.
- Compared with a year earlier, Price to Earnings has declined for seven straight quarters, with an average decline of 8.2% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was Q4 2024 (growth of 25.2%); the worst was Q3 2026 (a decline of 20.8%).
- Per Business Quant data, VLTO's Price to Earnings in the three quarters before Q3 2026 was 22.88 (Q2 2026), 22.31 (Q1 2026) and 26.37 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 23.00 |
| Jul 3, 2026 | 22.88 |
| Apr 3, 2026 | 22.31 |
| Dec 31, 2025 | 26.37 |
| Oct 3, 2025 | 29.14 |
| Jul 4, 2025 | 28.82 |
| Apr 4, 2025 | 25.18 |
| Dec 31, 2024 | 30.25 |
| Sep 27, 2024 | 33.83 |
| Jun 28, 2024 | 29.79 |
| Mar 29, 2024 | 27.42 |
| Dec 31, 2023 | 24.16 |
API Access
Veralto Price to Earnings 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-earnings&ticker=VLTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=VLTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();