Pool (POOL) Return on Sales [ROS] (2009 - 2026)
Pool (POOL) reported Return on Sales [ROS] of 14.68% for Q2 2026, down 0.60 percentage points from 15.28% a year earlier but up 7.42 percentage points from the prior quarter.
Pool (POOL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pool's Return on Sales [ROS] came in at 10.76%, down 0.37 percentage points year-over-year; for FY2025, it was 10.97%, down 0.65 percentage points from FY2024.
- Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -0.82 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 11.62% in FY2024 (-1.85 pp), 13.47% in FY2023 (-3.13 pp), 16.60% in FY2022 (+0.87 pp) and 15.73% in FY2021 (+3.94 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 5.30% in Q4 2025 and a high of 20.38% in Q2 2022.
- Year over year, Return on Sales [ROS] gained in 1 of the last eight quarters, with an average year-over-year change of -0.83 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2022 (a gain of 4.52 percentage points); the low point was Q1 2023 (a drop of 4.61 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.26% (Q1 2026), 5.30% (Q4 2025) and 12.27% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 16.07% |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 21.02% |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 8.19% |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 22.18% |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 9.54% |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 5.73% |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 11.78% |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 11.32% |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 7.20% |
| 10 | Pool | 5.88 Bn | 5.56 Bn | 540.76 Mn | 14.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.68% |
| Mar 31, 2026 | 7.26% |
| Dec 31, 2025 | 5.30% |
| Sep 30, 2025 | 12.27% |
| Jun 30, 2025 | 15.28% |
| Mar 31, 2025 | 7.24% |
| Dec 31, 2024 | 6.14% |
| Sep 30, 2024 | 12.31% |
| Jun 30, 2024 | 15.34% |
| Mar 31, 2024 | 9.70% |
| Dec 31, 2023 | 7.91% |
| Sep 30, 2023 | 13.19% |
| Jun 30, 2023 | 17.61% |
| Mar 31, 2023 | 12.08% |
| Dec 31, 2022 | 9.79% |
| Sep 30, 2022 | 16.34% |
| Jun 30, 2022 | 20.38% |
| Mar 31, 2022 | 16.69% |
| Dec 31, 2021 | 12.35% |
| Sep 30, 2021 | 16.81% |
Pool Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=POOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();