Xylem (XYL) Shares Outstanding (Diluted) (2009 - 2026)
Xylem's Weighted Average Shares Outstanding (Diluted) came in at 233.04 million for Q3 2026, down 4.5% from 244.1 million a year earlier and down 1.5% from the prior quarter.
Xylem (XYL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Xylem's Weighted Average Shares Outstanding (Diluted) was 244 million, up 0.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has increased in each of the last three years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 243.52 million in FY2024 (+11.6%), 218.2 million in FY2023 (+20.6%), 181 million in FY2022 (-0.3%) and 181.53 million in FY2021 (+0.2%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2023.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has declined for three consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2024 (growth of 34.0%), and the weakest in Q3 2026 (a decline of 4.5%).
- Business Quant data shows XYL's Weighted Average Shares Outstanding (Diluted) at 236.6 million (Q2 2026), 243.4 million (Q1 2026) and 244 million (Q4 2025) in the three quarters before Q3 2026.
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 |
|---|---|
| Sep 30, 2026 | 233.04 Mn |
| Jun 30, 2026 | 236.60 Mn |
| Mar 31, 2026 | 243.40 Mn |
| Dec 31, 2025 | 244.00 Mn |
| Sep 30, 2025 | 244.10 Mn |
| Jun 30, 2025 | 243.90 Mn |
| Mar 31, 2025 | 243.80 Mn |
| Dec 31, 2024 | 243.52 Mn |
| Sep 30, 2024 | 243.80 Mn |
| Jun 30, 2024 | 243.54 Mn |
| Mar 31, 2024 | 243.02 Mn |
| Dec 31, 2023 | 218.20 Mn |
| Sep 30, 2023 | 242.20 Mn |
| Jun 30, 2023 | 206.74 Mn |
| Mar 31, 2023 | 181.32 Mn |
| Dec 31, 2022 | 181.00 Mn |
| Sep 30, 2022 | 180.94 Mn |
| Jun 30, 2022 | 180.65 Mn |
| Mar 31, 2022 | 181.02 Mn |
| Dec 31, 2021 | 181.53 Mn |
Xylem 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=XYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "XYL", "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=XYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();