Consensus Cloud Solutions (CCSI) Operating Expenses (2020 - 2026)
Consensus Cloud Solutions (CCSI) posted Operating Expenses of $36.24 million for Q2 2026, up 16.7% from $31.05 million a year earlier and up 7.1% from the prior quarter.
Consensus Cloud Solutions (CCSI) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Consensus Cloud Solutions was $136.3 million, up 4.9% year-over-year; for FY2025, it came in at $128.86 million, down 1.9% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In prior years, Consensus Cloud Solutions' Operating Expenses was $131.29 million in FY2024 (-10.7%), $147.01 million in FY2023 (-1.0%), $148.55 million in FY2022 (+24.3%) and $119.53 million in FY2021 (+47.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 87.0%; the weakest was Q3 2021, with a decline of 66.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $33.83 million (Q1 2026), $33.92 million (Q4 2025) and $32.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Consensus Cloud Solutions | 631.80 Mn | 268.27 Mn | 73.07 Mn | 36.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.24 Mn |
| Mar 31, 2026 | 33.83 Mn |
| Dec 31, 2025 | 33.92 Mn |
| Sep 30, 2025 | 32.32 Mn |
| Jun 30, 2025 | 31.05 Mn |
| Mar 31, 2025 | 31.57 Mn |
| Dec 31, 2024 | 35.70 Mn |
| Sep 30, 2024 | 31.67 Mn |
| Jun 30, 2024 | 30.50 Mn |
| Mar 31, 2024 | 33.43 Mn |
| Dec 31, 2023 | 35.57 Mn |
| Sep 30, 2023 | 34.79 Mn |
| Jun 30, 2023 | 36.70 Mn |
| Mar 31, 2023 | 39.95 Mn |
| Dec 31, 2022 | 34.37 Mn |
| Sep 30, 2022 | 43.70 Mn |
| Jun 30, 2022 | 34.95 Mn |
| Mar 31, 2022 | 35.54 Mn |
| Dec 31, 2021 | 53.60 Mn |
| Sep 30, 2021 | 23.37 Mn |
Consensus Cloud Solutions 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=CCSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CCSI", "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=CCSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();