Pool (POOL) Operating Expenses (2009 - 2026)
Pool (POOL) posted Operating Expenses of $273.08 million for Q2 2026, up 4.0% from $262.49 million a year earlier and up 10.4% from the prior quarter.
Powered by 
Analysis
Pool (POOL) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Pool was $1.02 billion, up 5.0% year-over-year; for FY2025, it came in at $992.25 million, up 3.6% from FY2024.
- Annual Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- In prior years, Pool's Operating Expenses was $958.14 million in FY2024 (+4.9%), $913.48 million in FY2023 (+0.6%), $907.63 million in FY2022 (+15.7%) and $784.31 million in FY2021 (+18.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased in each of the last 11 quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 22.9%; the weakest was Q2 2023, with a decline of 2.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $247.26 million (Q1 2026), $243.74 million (Q4 2025) and $251.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Pool | 5.93 Bn | 5.61 Bn | 540.76 Mn | 273.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.08 Mn |
| Mar 31, 2026 | 247.26 Mn |
| Dec 31, 2025 | 243.74 Mn |
| Sep 30, 2025 | 251.20 Mn |
| Jun 30, 2025 | 262.49 Mn |
| Mar 31, 2025 | 234.83 Mn |
| Dec 31, 2024 | 229.59 Mn |
| Sep 30, 2024 | 240.05 Mn |
| Jun 30, 2024 | 258.66 Mn |
| Mar 31, 2024 | 229.84 Mn |
| Dec 31, 2023 | 214.43 Mn |
| Sep 30, 2023 | 234.29 Mn |
| Jun 30, 2023 | 240.77 Mn |
| Mar 31, 2023 | 223.98 Mn |
| Dec 31, 2022 | 208.44 Mn |
| Sep 30, 2022 | 239.81 Mn |
| Jun 30, 2022 | 247.92 Mn |
| Mar 31, 2022 | 211.47 Mn |
| Dec 31, 2021 | 194.49 Mn |
| Sep 30, 2021 | 204.62 Mn |
API Access
Pool Operating Expenses 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=operating-expenses&ticker=POOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();