Conduent (CNDT) Return on Sales [ROS] (2015 - 2026)
Conduent's Return on Sales [ROS] came in at -92.66% for Q2 2026, down 4.43 percentage points from -88.23% a year earlier and down 7.73 percentage points from the prior quarter.
Conduent (CNDT) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Conduent reported Return on Sales [ROS] of -86.96%, down 4.32 percentage points year-over-year; for FY2025, it was -87.11%, down 20.78 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -6.69 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -66.33% in FY2024 (+20.18 pp), -86.51% in FY2023 (-4.99 pp), -81.52% in FY2022 (-5.12 pp) and -76.40% in FY2021 (+4.02 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -6.07 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2024 (a gain of 49.68 percentage points), and the weakest in Q2 2025 (a drop of 42.69 percentage points).
- Business Quant data shows CNDT's Return on Sales [ROS] at -84.92% (Q1 2026), -84.68% (Q4 2025) and -87.22% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Conduent | 256.61 Mn | -680.39 Mn | 96.00 Mn | -92.66% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -92.66% |
| Mar 31, 2026 | -84.92% |
| Dec 31, 2025 | -84.68% |
| Sep 30, 2025 | -87.22% |
| Jun 30, 2025 | -88.23% |
| Mar 31, 2025 | -89.75% |
| Dec 31, 2024 | -93.00% |
| Sep 30, 2024 | -61.59% |
| Jun 30, 2024 | -45.53% |
| Mar 31, 2024 | -66.02% |
| Dec 31, 2023 | -78.07% |
| Sep 30, 2023 | -111.27% |
| Jun 30, 2023 | -77.70% |
| Mar 31, 2023 | -78.96% |
| Dec 31, 2022 | -116.33% |
| Sep 30, 2022 | -74.82% |
| Jun 30, 2022 | -77.80% |
| Mar 31, 2022 | -56.36% |
| Dec 31, 2021 | -81.77% |
| Sep 30, 2021 | -72.93% |
Conduent Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CNDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CNDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();