Donnelley Financial Solutions (DFIN) Return on Capital Employed [ROCE] (2016 - 2026)
Donnelley Financial Solutions' Return on Capital Employed [ROCE] was 22.79% in Q2 2026, up 3.59 percentage points from 19.20% a year earlier and up 0.14 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).
- Quarterly Return on Capital Employed [ROCE] has moved between 16.85% (Q2 2023) and 32.37% (Q4 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of +1.42 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 Q2 2026 was 22.65% (Q1 2026), 23.19% (Q4 2025) and 20.87% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Donnelley Financial Solutions | 1.15 Bn | 1.05 Bn | 148.00 Mn | 22.79% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 23.36% |
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();