Pool (POOL) Shares Outstanding (Diluted) (2009 - 2026)
Pool (POOL) posted Shares Outstanding (Diluted) of 36.13 million for Q2 2026, down 3.4% from 37.41 million a year earlier and down 0.8% from the prior quarter.
Pool (POOL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Pool's Shares Outstanding (Diluted) came in at 37.29 million, down 2.5% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for five consecutive years, with a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- In prior years, Pool's Shares Outstanding (Diluted) was 38.23 million in FY2024 (-2.0%), 39 million in FY2023 (-2.0%), 39.81 million in FY2022 (-1.7%) and 40.48 million in FY2021 (-0.9%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last 20 quarters, with an average decline of 2.5% over the last eight quarters.
- The year-over-year decline in Shares Outstanding (Diluted) has ranged between 0.4% (Q3 2021) and 3.4% (Q2 2026) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 36.44 million (Q1 2026), 37.29 million (Q4 2025) and 37.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 47.20 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 1.15 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 194.80 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 411.31 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 51.38 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 49.40 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 37.86 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 38.19 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 677.20 Mn |
| 10 | Pool | 5.88 Bn | 5.56 Bn | 540.76 Mn | 36.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.13 Mn |
| Mar 31, 2026 | 36.44 Mn |
| Dec 31, 2025 | 37.29 Mn |
| Sep 30, 2025 | 37.22 Mn |
| Jun 30, 2025 | 37.41 Mn |
| Mar 31, 2025 | 37.63 Mn |
| Dec 31, 2024 | 38.23 Mn |
| Sep 30, 2024 | 38.19 Mn |
| Jun 30, 2024 | 38.33 Mn |
| Mar 31, 2024 | 38.47 Mn |
| Dec 31, 2023 | 39.00 Mn |
| Sep 30, 2023 | 39.02 Mn |
| Jun 30, 2023 | 39.12 Mn |
| Mar 31, 2023 | 39.19 Mn |
| Dec 31, 2022 | 39.81 Mn |
| Sep 30, 2022 | 39.58 Mn |
| Jun 30, 2022 | 40.06 Mn |
| Mar 31, 2022 | 40.39 Mn |
| Dec 31, 2021 | 40.48 Mn |
| Sep 30, 2021 | 40.69 Mn |
Pool 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=POOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "POOL", "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=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();