Donnelley Financial Solutions (DFIN) Return on Assets [ROA] (2016 - 2026)
Donnelley Financial Solutions (DFIN) recorded Return on Assets [ROA] of 4.20% in Q2 2026, down 5.30 percentage points from 9.51% a year earlier and down 0.05 percentage points from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Return on Assets [ROA] (2016 - 2026) Analysis & Trends
For FY2025, Donnelley Financial Solutions reported Return on Assets [ROA] of 3.95%, down 7.26 percentage points from FY2024.
- Annual Return on Assets [ROA] has a five-year change of +6.90 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Assets [ROA] came in at 11.21% in FY2024 (+1.16 pp), 10.05% in FY2023 (-1.92 pp), 11.98% in FY2022 (-4.71 pp) and 16.68% in FY2021 (+19.64 pp).
- Quarterly Return on Assets [ROA] has ranged from 3.84% in Q3 2025 to 15.62% in Q1 2022 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has declined for six consecutive quarters, with an average year-over-year change of -3.40 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 18.42 percentage points in Q4 2021, against a drop of 7.36 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.25% (Q1 2026), 4.01% (Q4 2025) and 3.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 6.70% |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 10.87% |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | -56.94% |
| 10 | Donnelley Financial Solutions | 1.16 Bn | 1.07 Bn | 148.00 Mn | 4.20% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.20% |
| Mar 31, 2026 | 4.25% |
| Dec 31, 2025 | 4.01% |
| Sep 30, 2025 | 3.84% |
| Jun 30, 2025 | 9.51% |
| Mar 31, 2025 | 10.64% |
| Dec 31, 2024 | 10.97% |
| Sep 30, 2024 | 11.20% |
| Jun 30, 2024 | 12.12% |
| Mar 31, 2024 | 11.91% |
| Dec 31, 2023 | 9.99% |
| Sep 30, 2023 | 9.47% |
| Jun 30, 2023 | 9.43% |
| Mar 31, 2023 | 10.81% |
| Dec 31, 2022 | 12.21% |
| Sep 30, 2022 | 13.20% |
| Jun 30, 2022 | 15.61% |
| Mar 31, 2022 | 15.62% |
| Dec 31, 2021 | 15.54% |
| Sep 30, 2021 | 8.77% |
API Access
Donnelley Financial Solutions Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();