Concentrix (CNXC) Operating Expenses (2020 - 2026)
Concentrix's Operating Expenses came in at $727.93 million for fiscal Q2 2026 (quarter ended May 31, 2026), up 4.0% from $699.8 million a year earlier but down 0.4% from the prior quarter.
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Analysis
Concentrix (CNXC) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Concentrix reported Operating Expenses of $2.9 billion, up 2.6% year-over-year; for FY2025 (ended Nov 30, 2025), it was $2.83 billion, down 0.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $2.85 billion in FY2024 (+48.8%), $1.92 billion in FY2023 (+18.5%), $1.62 billion in FY2022 (+15.7%) and $1.4 billion in FY2021 (+3.3%).
- The five-year range for quarterly Operating Expenses is $329.96 million (fiscal Q3 2021) to $731.1 million (fiscal Q1 2026).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 10.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2024 (growth of 69.4%), and the weakest in fiscal Q1 2025 (a decline of 3.0%).
- Business Quant data shows CNXC's Operating Expenses at $731.1 million (Q1 2026), $730.61 million (Q4 2025) and $708.02 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Concentrix | 1.52 Bn | 362.66 Mn | 823.35 Mn | 727.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 727.93 Mn |
| Feb 28, 2026 | 731.10 Mn |
| Nov 30, 2025 | 730.61 Mn |
| Aug 31, 2025 | 708.02 Mn |
| May 31, 2025 | 699.80 Mn |
| Feb 28, 2025 | 687.03 Mn |
| Nov 30, 2024 | 726.06 Mn |
| Aug 31, 2024 | 710.95 Mn |
| May 31, 2024 | 707.40 Mn |
| Feb 29, 2024 | 708.09 Mn |
| Nov 30, 2023 | 642.41 Mn |
| Aug 31, 2023 | 431.43 Mn |
| May 31, 2023 | 417.66 Mn |
| Feb 28, 2023 | 425.11 Mn |
| Nov 30, 2022 | 415.38 Mn |
| Aug 31, 2022 | 409.30 Mn |
| May 31, 2022 | 402.00 Mn |
| Feb 28, 2022 | 390.39 Mn |
| Nov 30, 2021 | 361.46 Mn |
| Aug 31, 2021 | 329.96 Mn |
API Access
Concentrix 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=CNXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CNXC", "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=CNXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();