Pool (POOL) Accumulated Expenses (2009 - 2026)
Pool (POOL) recorded Accumulated Expenses of $185.51 million in Q2 2026, up 15.3% from $160.83 million a year earlier and up 43.3% from the prior quarter.
Pool (POOL) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Pool reported Accumulated Expenses of $109.3 million, down 36.2% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -5.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $171.19 million in FY2024 (+27.1%), $134.68 million in FY2023 (-20.1%), $168.52 million in FY2022 (-36.4%) and $264.88 million in FY2021 (+84.3%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses since Q3 2022.
- On a year-over-year basis, Accumulated Expenses rose in six of the last eight quarters, with growth averaging 4.6%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 84.3% in Q4 2021, against a decline of 36.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $129.43 million (Q1 2026), $109.3 million (Q4 2025) and $147.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn |
| 10 | Pool | 5.88 Bn | 5.56 Bn | 540.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.51 Mn |
| Mar 31, 2026 | 129.43 Mn |
| Dec 31, 2025 | 109.30 Mn |
| Sep 30, 2025 | 147.12 Mn |
| Jun 30, 2025 | 160.83 Mn |
| Mar 31, 2025 | 109.89 Mn |
| Dec 31, 2024 | 171.19 Mn |
| Sep 30, 2024 | 185.12 Mn |
| Jun 30, 2024 | 152.98 Mn |
| Mar 31, 2024 | 99.56 Mn |
| Dec 31, 2023 | 134.68 Mn |
| Sep 30, 2023 | 157.17 Mn |
| Jun 30, 2023 | 170.66 Mn |
| Mar 31, 2023 | 126.09 Mn |
| Dec 31, 2022 | 168.52 Mn |
| Sep 30, 2022 | 210.45 Mn |
| Jun 30, 2022 | 195.53 Mn |
| Mar 31, 2022 | 179.55 Mn |
| Dec 31, 2021 | 264.88 Mn |
| Sep 30, 2021 | 231.79 Mn |
Pool Accumulated 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=accumulated-expenses&ticker=POOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();