Donnelley Financial Solutions (DFIN) Return on Capital Employed [ROCE] (2016 - 2026)
Donnelley Financial Solutions' Return on Capital Employed [ROCE] was 24.91% in Q3 2026, up 4.04 percentage points from 20.87% a year earlier and up 2.12 percentage points from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Donnelley Financial Solutions came in at 22.72%, down 0.04 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +22.16 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 22.76% in FY2024 (+4.90 pp), 17.86% in FY2023 (-5.12 pp), 22.98% in FY2022 (-12.79 pp) and 35.77% in FY2021 (+35.21 pp).
- The Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of +1.49 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 31.82 percentage points); the worst was Q2 2023 (a drop of 14.51 percentage points).
- Per Business Quant data, DFIN's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 22.79% (Q2 2026), 22.65% (Q1 2026) and 23.19% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 30.95% |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 9.81% |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | 34.05% |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 10.68% |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | -53.96% |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 7.48% |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | -30.53% |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 24.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.91% |
| Jun 30, 2026 | 22.79% |
| Mar 31, 2026 | 22.65% |
| Dec 31, 2025 | 23.19% |
| Sep 30, 2025 | 20.87% |
| Jun 30, 2025 | 19.20% |
| Mar 31, 2025 | 21.15% |
| Dec 31, 2024 | 22.09% |
| Sep 30, 2024 | 20.89% |
| Jun 30, 2024 | 21.78% |
| Mar 31, 2024 | 21.26% |
| Dec 31, 2023 | 17.70% |
| Sep 30, 2023 | 17.40% |
| Jun 30, 2023 | 16.85% |
| Mar 31, 2023 | 19.21% |
| Dec 31, 2022 | 23.59% |
| Sep 30, 2022 | 25.42% |
| Jun 30, 2022 | 31.36% |
| Mar 31, 2022 | 30.20% |
| Dec 31, 2021 | 32.37% |
API Access
Donnelley Financial Solutions Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DFIN", "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-capital-employed-%5Broce%5D&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();