Veralto (VLTO) Price to Sales (2023 - 2026)
Veralto's Price to Sales came in at 3.97 for Q2 2026, down 17.3% from 4.80 a year earlier but up 2.7% from the prior quarter.
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Analysis
Veralto (VLTO) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Veralto's Price to Sales was 4.50, down 7.2% from FY2024.
- Going back by year, Price to Sales was 4.85 in FY2024 (+20.2%) and 4.04 in FY2023.
- The five-year range for quarterly Price to Sales is 3.86 (Q1 2026) to 5.31 (Q3 2024).
- Year-over-year, Price to Sales has declined for four consecutive quarters, with an average decline of 2.9% over the last seven quarters.
- Business Quant data shows VLTO's Price to Sales at 3.86 (Q1 2026), 4.50 (Q4 2025) and 4.88 (Q3 2025) in the three quarters before Q2 2026.
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 | 3.97 |
| Apr 3, 2026 | 3.86 |
| Dec 31, 2025 | 4.50 |
| Oct 3, 2025 | 4.88 |
| Jul 4, 2025 | 4.80 |
| Apr 4, 2025 | 4.17 |
| Dec 31, 2024 | 4.85 |
| Sep 27, 2024 | 5.31 |
| Jun 28, 2024 | 4.65 |
| Mar 29, 2024 | 4.34 |
| Dec 31, 2023 | 4.04 |
API Access
Veralto Price to Sales 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-sales&ticker=VLTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=VLTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();