SiteOne Landscape Supply (SITE) Operating Expenses (2015 - 2026)
SiteOne Landscape Supply's Operating Expenses came in at $370.7 million for Q2 2026, up 6.2% from $349.1 million a year earlier and up 5.9% from the prior quarter.
SiteOne Landscape Supply (SITE) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, SiteOne Landscape Supply reported Operating Expenses of $1.44 billion, up 2.7% year-over-year; for FY2025, it came in at $1.42 billion, up 2.2% from FY2024.
- Operating Expenses has increased in each of the last three years, with a four-year compound annual growth rate of 18.1% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $1.39 billion in FY2024 (+10.2%), $1.26 billion in FY2023 (+14.5%), $1.1 billion in FY2022 and $728.2 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2022.
- Year-over-year, Operating Expenses has increased for ten consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2024 (growth of 12.5%), and the weakest in Q4 2023 (a decline of 25.0%).
- Business Quant data shows SITE's Operating Expenses at $349.9 million (Q1 2026), $365.9 million (Q4 2025) and $357.4 million (Q3 2025) in the three quarters before Q2 2026.
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 | SiteOne Landscape Supply | 3.98 Bn | 3.51 Bn | 564.50 Mn | 370.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 370.70 Mn |
| Mar 29, 2026 | 349.90 Mn |
| Dec 28, 2025 | 365.90 Mn |
| Sep 28, 2025 | 357.40 Mn |
| Jun 29, 2025 | 349.10 Mn |
| Mar 30, 2025 | 343.20 Mn |
| Dec 29, 2024 | 364.50 Mn |
| Sep 29, 2024 | 349.10 Mn |
| Jun 30, 2024 | 343.80 Mn |
| Mar 31, 2024 | 327.70 Mn |
| Dec 31, 2023 | 332.80 Mn |
| Oct 1, 2023 | 311.80 Mn |
| Jul 2, 2023 | 320.60 Mn |
| Apr 2, 2023 | 291.40 Mn |
| Jan 1, 2023 | 443.60 Mn |
| Oct 2, 2022 | 289.20 Mn |
| Jul 3, 2022 | 272.70 Mn |
| Apr 3, 2022 | 230.50 Mn |
| Oct 3, 2021 | 235.30 Mn |
| Jul 4, 2021 | 225.80 Mn |
SiteOne Landscape Supply 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=SITE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SITE", "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=SITE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();