Pool (POOL) Selling, General & Administrative (2009 - 2026)
Pool (POOL) recorded Selling, General & Administrative of $273.08 million in Q2 2026, up 4.0% from $262.49 million a year earlier and up 10.4% from the prior quarter.
Pool (POOL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a TTM basis, Pool's Selling, General & Administrative came in at $1.02 billion as of Jun 30, 2026, up 5.0% year-over-year; for FY2025, it was $992.25 million, up 3.6% from FY2024.
- Annual Selling, General & Administrative has increased for 16 straight years, with a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $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 is the highest quarterly Selling, General & Administrative in data going back to Q2 2009.
- On a year-over-year basis, Selling, General & Administrative has increased for 11 consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 22.9% in Q1 2022, against a decline of 2.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $247.26 million (Q1 2026), $243.74 million (Q4 2025) and $251.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 443.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 789.40 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Pool | 5.88 Bn | 5.56 Bn | 540.76 Mn | 273.08 Mn |
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 |
Pool Selling, General & Administrative 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=selling-general-and-administrative&ticker=POOL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=POOL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();