Veralto (VLTO) Shares Outstanding (Diluted) (2022 - 2026)
Veralto's Weighted Average Shares Outstanding (Diluted) was 245.8 million in Q3 2026, down 1.9% from 250.6 million a year earlier and unchanged from the prior quarter.
Veralto (VLTO) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Veralto came in at 250.3 million, up 0.3% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for three consecutive years, with a four-year compound annual growth rate of 0.4% (FY2021 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 249.6 million in FY2024 (+1.1%), 246.8 million in FY2023 (+0.2%), 246.3 million in FY2022 (unchanged) and 246.3 million in FY2021.
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 245.8 million (Q2 2026) and 250.6 million (Q3 2025) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for three straight quarters, with an average decline of 0.2% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q3 2024 (growth of 1.5%); the worst was Q3 2026 (a decline of 1.9%).
- Per Business Quant data, VLTO's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 245.8 million (Q2 2026), 249.2 million (Q1 2026) and 250.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 282.10 Mn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 245.30 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 233.04 Mn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 28.87 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | 58.55 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 9.81 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | 51.03 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | 10.80 Mn |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | 28.75 Mn |
| 10 | LanzaTech Global | 50.39 Mn | -47.24 Mn | 1.91 Mn | 11.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 245.30 Mn |
| Jul 3, 2026 | 245.80 Mn |
| Apr 3, 2026 | 249.20 Mn |
| Dec 31, 2025 | 250.30 Mn |
| Oct 3, 2025 | 250.60 Mn |
| Jul 4, 2025 | 249.90 Mn |
| Apr 4, 2025 | 250.10 Mn |
| Dec 31, 2024 | 249.60 Mn |
| Sep 27, 2024 | 250.00 Mn |
| Jun 28, 2024 | 249.30 Mn |
| Mar 29, 2024 | 248.80 Mn |
| Dec 31, 2023 | 246.80 Mn |
| Sep 29, 2023 | 246.30 Mn |
| Jun 30, 2023 | 246.30 Mn |
| Mar 31, 2023 | 246.30 Mn |
| Dec 31, 2022 | 246.30 Mn |
| Sep 30, 2022 | 246.30 Mn |
Veralto Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=VLTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=VLTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();