Donnelley Financial Solutions (DFIN) Operating Income (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Operating Income of $56 million for Q2 2026, up 6.1% from $52.8 million a year earlier and up 15.5% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Operating Income (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Income at Donnelley Financial Solutions was $147 million, up 16.6% year-over-year; for FY2025, it came in at $141.1 million, up 3.3% from FY2024.
- Annual Operating Income shows a five-year compound annual growth rate of 108.3% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Operating Income was $136.6 million in FY2024 (+24.2%), $110 million in FY2023 (-24.1%), $145 million in FY2022 (-33.9%) and $219.3 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Income since Q2 2024.
- On a year-over-year basis, Operating Income has increased in each of the last four quarters, with growth averaging 7.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Income in the past five years was Q3 2021, with growth of 327.6%; the weakest was Q3 2022, with a decline of 58.9%.
- According to Business Quant data, Operating Income for the three prior quarters was $48.5 million (Q1 2026), $14.3 million (Q4 2025) and $28.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 912.00 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 6.73 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 2.33 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.82 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.33 Bn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 56.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.00 Mn |
| Mar 31, 2026 | 48.50 Mn |
| Dec 31, 2025 | 14.30 Mn |
| Sep 30, 2025 | 28.20 Mn |
| Jun 30, 2025 | 52.80 Mn |
| Mar 31, 2025 | 45.80 Mn |
| Dec 31, 2024 | 9.30 Mn |
| Sep 30, 2024 | 18.20 Mn |
| Jun 30, 2024 | 64.50 Mn |
| Mar 31, 2024 | 44.60 Mn |
| Dec 31, 2023 | 9.80 Mn |
| Sep 30, 2023 | 29.80 Mn |
| Jun 30, 2023 | 55.60 Mn |
| Mar 31, 2023 | 14.80 Mn |
| Dec 31, 2022 | 17.10 Mn |
| Sep 30, 2022 | 26.70 Mn |
| Jun 30, 2022 | 65.90 Mn |
| Mar 31, 2022 | 35.30 Mn |
| Dec 31, 2021 | 41.40 Mn |
| Sep 30, 2021 | 65.00 Mn |
API Access
Donnelley Financial Solutions Operating Income 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-income&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();