Rollins (ROL) Operating Expenses (2009 - 2026)
Rollins' Operating Expenses came in at $877.22 million for Q2 2026, up 9.5% from $801.19 million a year earlier and up 15.3% from the prior quarter.
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Analysis
Rollins (ROL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rollins reported Operating Expenses of $3.19 billion, up 10.6% year-over-year; for FY2025, it was $3.03 billion, up 11.1% from FY2024.
- Operating Expenses has increased in each of the last 16 years, with a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.73 billion in FY2024 (+9.7%), $2.49 billion in FY2023 (+13.1%), $2.2 billion in FY2022 (+11.4%) and $1.98 billion in FY2021 (+10.7%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2009.
- Year-over-year, Operating Expenses has increased for 30 consecutive quarters, with growth averaging 10.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 6.5% (Q2 2024) to 213.1% (Q4 2021).
- Business Quant data shows ROL's Operating Expenses at $760.94 million (Q1 2026), $752.85 million (Q4 2025) and $801.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 877.22 Mn |
| Mar 31, 2026 | 760.94 Mn |
| Dec 31, 2025 | 752.85 Mn |
| Sep 30, 2025 | 801.09 Mn |
| Jun 30, 2025 | 801.19 Mn |
| Mar 31, 2025 | 679.86 Mn |
| Dec 31, 2024 | 681.54 Mn |
| Sep 30, 2024 | 724.47 Mn |
| Jun 30, 2024 | 709.54 Mn |
| Mar 31, 2024 | 615.93 Mn |
| Dec 31, 2023 | 615.01 Mn |
| Sep 30, 2023 | 663.30 Mn |
| Jun 30, 2023 | 665.96 Mn |
| Mar 31, 2023 | 545.78 Mn |
| Dec 31, 2022 | 541.47 Mn |
| Sep 30, 2022 | 584.30 Mn |
| Jun 30, 2022 | 579.37 Mn |
| Mar 31, 2022 | 497.29 Mn |
| Dec 31, 2021 | 501.31 Mn |
| Sep 30, 2021 | 523.35 Mn |
API Access
Rollins 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=ROL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ROL", "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=ROL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();