Donnelley Financial Solutions (DFIN) Income After Tax (2015 - 2026)
Donnelley Financial Solutions' Income After Tax was $21.3 million in Q3 2026, compared with -$40.9 million a year earlier and down 41.5% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Income After Tax (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Donnelley Financial Solutions' Income After Tax was $97.4 million through Sep 30, 2026, up 199.7% year-over-year; for FY2025, it was $32.4 million, down 64.9% from FY2024.
- In earlier years, Income After Tax was $92.4 million in FY2024 (+12.4%), $82.2 million in FY2023 (-19.8%), $102.5 million in FY2022 (-29.7%) and $145.9 million in FY2021.
- Quarterly Income After Tax has moved between -$40.9 million (Q3 2025) and $46 million (Q2 2022) over five years.
- Compared with a year earlier, Income After Tax was higher in two of the last six quarters, with an average decline of 9.7%.
- The best year-over-year quarter for Income After Tax over five years was Q1 2024 (growth of 110.8%); the worst was Q4 2022 (a decline of 57.4%).
- Per Business Quant data, DFIN's Income After Tax in the three quarters before Q3 2026 was $36.4 million (Q2 2026), $33.5 million (Q1 2026) and $6.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 1.13 Bn |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 4.76 Bn |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | 4.30 Bn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 3.53 Bn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | 1.13 Bn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 277.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 19.53 Bn |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 21.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.30 Mn |
| Jun 30, 2026 | 36.40 Mn |
| Mar 31, 2026 | 33.50 Mn |
| Dec 31, 2025 | 6.20 Mn |
| Sep 30, 2025 | -40.90 Mn |
| Jun 30, 2025 | 36.10 Mn |
| Mar 31, 2025 | 31.00 Mn |
| Dec 31, 2024 | 6.30 Mn |
| Sep 30, 2024 | 8.70 Mn |
| Jun 30, 2024 | 44.10 Mn |
| Mar 31, 2024 | 33.30 Mn |
| Dec 31, 2023 | 10.60 Mn |
| Sep 30, 2023 | 18.10 Mn |
| Jun 30, 2023 | 37.70 Mn |
| Mar 31, 2023 | 15.80 Mn |
| Dec 31, 2022 | 10.90 Mn |
| Sep 30, 2022 | 19.20 Mn |
| Jun 30, 2022 | 46.00 Mn |
| Mar 31, 2022 | 26.40 Mn |
| Dec 31, 2021 | 25.60 Mn |
API Access
Donnelley Financial Solutions Income After Tax 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=profit-after-tax&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();