Circle8 (CIRC) Operating Expenses (2020 - 2026)
Circle8 (CIRC) recorded Operating Expenses of $34.89 million in Q2 2026, up 84.6% from $18.9 million a year earlier and up 8.6% from the prior quarter.
Circle8 (CIRC) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Circle8's Operating Expenses came in at $120.09 million as of Jun 30, 2026, up 63.3% year-over-year; for FY2025, it came in at $91.42 million, up 42.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 141.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $64.22 million in FY2024, $5.73 million in FY2023 (+40.7%), $4.08 million in FY2022 (+50.9%) and $2.7 million in FY2021 (+143.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2020.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 50.3% over the last five quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 126.9% in Q1 2022, against a decline of 39.4% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $32.12 million (Q1 2026), $33.16 million (Q4 2025) and $19.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.93 Bn | 107.22 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 87.54 Bn | 86.62 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.82 Bn | 33.01 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.50 Bn | 14.53 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.12 Bn | 15.67 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 15.17 Bn | 13.93 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Gartner | 14.71 Bn | 8.40 Bn | 1.19 Bn | 1.30 Bn |
| 8 | Aramark | 14.66 Bn | 12.61 Bn | 430.34 Mn | 4.84 Bn |
| 9 | Rentokil Initial | 10.68 Bn | 4.20 Bn | - | - |
| 10 | Circle8 | 29.43 Mn | -14.16 Mn | 23.80 Mn | 34.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.89 Mn |
| Mar 31, 2026 | 32.12 Mn |
| Dec 31, 2025 | 33.16 Mn |
| Sep 30, 2025 | 19.92 Mn |
| Jun 30, 2025 | 18.90 Mn |
| Mar 31, 2025 | 19.44 Mn |
| Dec 31, 2024 | 18.01 Mn |
| Sep 30, 2024 | 17.20 Mn |
| Jun 30, 2024 | 18.60 Mn |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 1.29 Mn |
| Jun 30, 2023 | 1.44 Mn |
| Mar 31, 2023 | 1.76 Mn |
| Dec 31, 2022 | 1.25 Mn |
| Sep 30, 2022 | 918,500.00 |
| Jun 30, 2022 | 991,584.00 |
| Mar 31, 2022 | 919,542.00 |
| Dec 31, 2021 | 1.39 Mn |
| Sep 30, 2021 | 451,602.00 |
Circle8 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=CIRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CIRC", "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=CIRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();