Cbiz (CBZ) Operating Expenses (2010 - 2026)
Cbiz's Operating Expenses came in at $38.37 million for Q2 2026, up 38.8% from $27.64 million a year earlier but down 7.6% from the prior quarter.
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Analysis
Cbiz (CBZ) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cbiz reported Operating Expenses of $145.55 million, up 17.7% year-over-year; for FY2025, it came in at $121.38 million, up 11.6% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $108.75 million in FY2024 (+87.6%), $57.97 million in FY2023 (+5.3%), $55.02 million in FY2022 (-2.0%) and $56.15 million in FY2021 (+21.9%).
- The five-year range for quarterly Operating Expenses is $10.93 million (Q2 2022) to $44.77 million (Q4 2024).
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 60.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 233.1%), and the weakest in Q4 2025 (a decline of 23.1%).
- Business Quant data shows CBZ's Operating Expenses at $41.51 million (Q1 2026), $34.41 million (Q4 2025) and $31.27 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 | Cbiz | 2.97 Bn | 2.88 Bn | 72.44 Mn | 38.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.37 Mn |
| Mar 31, 2026 | 41.51 Mn |
| Dec 31, 2025 | 34.41 Mn |
| Sep 30, 2025 | 31.27 Mn |
| Jun 30, 2025 | 27.64 Mn |
| Mar 31, 2025 | 28.07 Mn |
| Dec 31, 2024 | 44.77 Mn |
| Sep 30, 2024 | 23.23 Mn |
| Jun 30, 2024 | 22.05 Mn |
| Mar 31, 2024 | 18.71 Mn |
| Dec 31, 2023 | 13.44 Mn |
| Sep 30, 2023 | 13.14 Mn |
| Jun 30, 2023 | 15.79 Mn |
| Mar 31, 2023 | 15.60 Mn |
| Dec 31, 2022 | 11.90 Mn |
| Sep 30, 2022 | 15.89 Mn |
| Jun 30, 2022 | 10.93 Mn |
| Mar 31, 2022 | 16.31 Mn |
| Dec 31, 2021 | 14.82 Mn |
| Sep 30, 2021 | 13.04 Mn |
API Access
Cbiz 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=CBZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CBZ", "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=CBZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();