Pool (POOL) EBITDA (2009 - 2026)
Pool (POOL) reported EBITDA of $281.33 million for Q2 2026, down 1.2% from $284.8 million a year earlier but up 192.6% from the prior quarter.
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Analysis
Pool (POOL) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pool's EBITDA came in at $634.97 million, unchanged year-over-year; for FY2025, it was $631.81 million, down 4.7% from FY2024.
- EBITDA has declined for three consecutive years, though with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- By year, EBITDA came in at $662.69 million in FY2024 (-15.8%), $786.71 million in FY2023 (-26.1%), $1.06 billion in FY2022 (+23.4%) and $862.81 million in FY2021 (+74.9%).
- Five-year quarterly EBITDA spans a low of $66.58 million in Q4 2025 and a high of $428.77 million in Q2 2022.
- Year over year, EBITDA gained in three of the last eight quarters, with an average decline of 6.5%.
- The high point for year-over-year EBITDA in five years was Q1 2022 (growth of 80.1%); the low point was Q1 2023 (a decline of 36.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $96.16 million (Q1 2026), $66.58 million (Q4 2025) and $190.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 873.00 Mn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 547.30 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 709.00 Mn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 1.28 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 511.10 Mn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 444.90 Mn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 175.57 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 249.30 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 227.40 Mn |
| 10 | Pool | 5.93 Bn | 5.61 Bn | 540.76 Mn | 281.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 281.33 Mn |
| Mar 31, 2026 | 96.16 Mn |
| Dec 31, 2025 | 66.58 Mn |
| Sep 30, 2025 | 190.91 Mn |
| Jun 30, 2025 | 284.80 Mn |
| Mar 31, 2025 | 89.53 Mn |
| Dec 31, 2024 | 72.77 Mn |
| Sep 30, 2024 | 187.92 Mn |
| Jun 30, 2024 | 282.52 Mn |
| Mar 31, 2024 | 119.47 Mn |
| Dec 31, 2023 | 89.70 Mn |
| Sep 30, 2023 | 204.69 Mn |
| Jun 30, 2023 | 336.77 Mn |
| Mar 31, 2023 | 155.54 Mn |
| Dec 31, 2022 | 116.62 Mn |
| Sep 30, 2022 | 273.84 Mn |
| Jun 30, 2022 | 428.77 Mn |
| Mar 31, 2022 | 245.58 Mn |
| Dec 31, 2021 | 135.83 Mn |
| Sep 30, 2021 | 244.76 Mn |
API Access
Pool EBITDA 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=ebitda&ticker=POOL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();