Conduent (CNDT) Operating Expenses (2015 - 2026)
Conduent's Operating Expenses was $588 million in Q2 2026, down 9.0% from $646 million a year earlier and down 21.6% from the prior quarter.
Powered by 
Analysis
Conduent (CNDT) Operating Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Conduent's Operating Expenses was $2.94 billion through Jun 30, 2026, down 1.4% year-over-year; for FY2025, it came in at $3.2 billion, up 12.3% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.85 billion in FY2024 (-29.6%), $4.05 billion in FY2023 (+1.7%), $3.99 billion in FY2022 (-4.3%) and $4.17 billion in FY2021 (-3.2%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q2 2024.
- Compared with a year earlier, Operating Expenses has declined for three straight quarters, with an average decline of 4.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2023 (growth of 30.5%); the worst was Q3 2024 (a decline of 48.0%).
- Per Business Quant data, CNDT's Operating Expenses in the three quarters before Q2 2026 was $750 million (Q1 2026), $798 million (Q4 2025) and $805 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Conduent | 245.72 Mn | -691.28 Mn | 96.00 Mn | 588.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 588.00 Mn |
| Mar 31, 2026 | 750.00 Mn |
| Dec 31, 2025 | 798.00 Mn |
| Sep 30, 2025 | 805.00 Mn |
| Jun 30, 2025 | 646.00 Mn |
| Mar 31, 2025 | 807.00 Mn |
| Dec 31, 2024 | 882.00 Mn |
| Sep 30, 2024 | 648.00 Mn |
| Jun 30, 2024 | 528.00 Mn |
| Mar 31, 2024 | 794.00 Mn |
| Dec 31, 2023 | 957.00 Mn |
| Sep 30, 2023 | 1.25 Bn |
| Jun 30, 2023 | 922.00 Mn |
| Mar 31, 2023 | 930.00 Mn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 954.00 Mn |
| Jun 30, 2022 | 923.00 Mn |
| Mar 31, 2022 | 757.00 Mn |
| Dec 31, 2021 | 1.10 Bn |
| Sep 30, 2021 | 1.02 Bn |
API Access
Conduent 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=CNDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CNDT", "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=CNDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();