Republic Services (RSG) Selling, General & Administrative (2009 - 2026)
Republic Services (RSG) reported Selling, General & Administrative of $444 million for Q2 2026, up 4.5% from $425 million a year earlier and up 4.5% from the prior quarter.
Republic Services (RSG) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Republic Services' Selling, General & Administrative came in at $1.73 billion, up 1.3% year-over-year; for FY2025, it was $1.71 billion, up 2.2% from FY2024.
- Selling, General & Administrative has increased for five consecutive years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $1.67 billion in FY2024 (+4.0%), $1.61 billion in FY2023 (+10.7%), $1.45 billion in FY2022 (+21.6%) and $1.2 billion in FY2021 (+13.6%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2024.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 2.2%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 25.2%); the low point was Q4 2025 (a decline of 2.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $425 million (Q1 2026), $436 million (Q4 2025) and $422 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.78 Bn | 80.69 Bn | 2.73 Bn | 683.00 Mn |
| 2 | Republic Services | 64.17 Bn | 63.79 Bn | 1.87 Bn | 444.00 Mn |
| 3 | Waste Connections | 38.78 Bn | 38.40 Bn | 1.08 Bn | 260.49 Mn |
| 4 | Clean Harbors | 16.83 Bn | 13.84 Bn | 608.78 Mn | 214.57 Mn |
| 5 | GFL Environmental | 15.57 Bn | 13.25 Bn | 385.80 Mn | 276.30 Mn |
| 6 | Casella Waste Systems | 5.19 Bn | 4.31 Bn | 178.80 Mn | 63.17 Mn |
| 7 | Onterris | 445.90 Mn | 405.17 Mn | 82.26 Mn | 62.96 Mn |
| 8 | Perma Fix Environmental Services | 329.99 Mn | 221.55 Mn | -2.50 Mn | 3.75 Mn |
| 9 | Deep Isolation Nuclear | 184.53 Mn | 184.53 Mn | 707,000.00 | 2.75 Mn |
| 10 | Comstock | 172.41 Mn | 175.73 Mn | -896,073.00 | 7.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 444.00 Mn |
| Mar 31, 2026 | 425.00 Mn |
| Dec 31, 2025 | 436.00 Mn |
| Sep 30, 2025 | 422.00 Mn |
| Jun 30, 2025 | 425.00 Mn |
| Mar 31, 2025 | 427.00 Mn |
| Dec 31, 2024 | 447.00 Mn |
| Sep 30, 2024 | 406.00 Mn |
| Jun 30, 2024 | 407.00 Mn |
| Mar 31, 2024 | 414.00 Mn |
| Dec 31, 2023 | 431.70 Mn |
| Sep 30, 2023 | 402.10 Mn |
| Jun 30, 2023 | 396.00 Mn |
| Mar 31, 2023 | 379.20 Mn |
| Dec 31, 2022 | 395.00 Mn |
| Sep 30, 2022 | 361.00 Mn |
| Jun 30, 2022 | 390.20 Mn |
| Mar 31, 2022 | 307.80 Mn |
| Dec 31, 2021 | 315.50 Mn |
| Sep 30, 2021 | 299.00 Mn |
Republic Services 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=RSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "RSG", "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=RSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();