Rollins (ROL) Accumulated Expenses (2009 - 2026)
Rollins (ROL) posted Accumulated Expenses of $132.2 million for Q2 2026, up 29.02% on a QoQ basis from $102.5 million in Q1 2026, and up 9.41% year-over-year from $120.8 million in Q2 2025.
Rollins (ROL) Accumulated Expenses (2009 - 2026) Analysis & Trends
Rollins has reported Accumulated Expenses for 18 years, with the latest figure at $132.2 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 9.41% year-over-year to $132.2 million in Q2 2026; TTM through Jun 2026 was $132.2 million, a 9.41% increase from a year earlier, with the FY2025 full-year figure at $128.3 million, up 4.39% from the prior year.
- Accumulated Expenses was $132.2 million for Q2 2026 at Rollins, up from $102.5 million in the prior quarter.
- The five-year high for Accumulated Expenses was $132.2 million in Q2 2026, with the low at $67.8 million in Q1 2023.
- Average Accumulated Expenses over 5 years is $103.4 million, with a median of $100.9 million recorded in 2022.
- The sharpest annual moves came in 2023 and 2025: Accumulated Expenses fell 11.18% in 2023, then gained 17.25% in 2025.
- Over 5 years, Accumulated Expenses stood at $99.3 million in 2022, then increased by 15.22% to $114.4 million in 2023, then gained by 7.45% to $122.9 million in 2024, then grew by 4.39% to $128.3 million in 2025, then gained by 3.07% to $132.2 million in 2026.
- The last three Accumulated Expenses figures came in at $132.2 million (Q2 2026), $102.5 million (Q1 2026), and $128.3 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.20 Mn |
| Mar 31, 2026 | 102.46 Mn |
| Dec 31, 2025 | 128.26 Mn |
| Sep 30, 2025 | 126.89 Mn |
| Jun 30, 2025 | 120.83 Mn |
| Mar 31, 2025 | 88.90 Mn |
| Dec 31, 2024 | 122.87 Mn |
| Sep 30, 2024 | 108.23 Mn |
| Jun 30, 2024 | 107.61 Mn |
| Mar 31, 2024 | 79.37 Mn |
| Dec 31, 2023 | 114.36 Mn |
| Sep 30, 2023 | 99.23 Mn |
| Jun 30, 2023 | 94.97 Mn |
| Mar 31, 2023 | 67.76 Mn |
| Dec 31, 2022 | 99.25 Mn |
| Sep 30, 2022 | 95.69 Mn |
| Jun 30, 2022 | 95.95 Mn |
| Mar 31, 2022 | 76.29 Mn |
| Dec 31, 2021 | 97.86 Mn |
| Sep 30, 2021 | 96.29 Mn |
Rollins Accumulated 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=accumulated-expenses&ticker=ROL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ROL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();