Donnelley Financial Solutions (DFIN) Income from Continuing Operations (2015 - 2026)
Donnelley Financial Solutions (DFIN) recorded Income from Continuing Operations of $36.4 million in Q2 2026, up 0.8% from $36.1 million a year earlier and up 8.7% from the prior quarter.
Donnelley Financial Solutions (DFIN) Income from Continuing Operations (2015 - 2026) Analysis & Trends
On a TTM basis, Donnelley Financial Solutions' Income from Continuing Operations came in at $35.2 million as of Jun 30, 2026, down 57.1% year-over-year; for FY2025, it was $32.4 million, down 64.9% from FY2024.
- Across earlier years, Income from Continuing Operations came in at $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.
- The Q2 2026 figure is the highest quarterly Income from Continuing Operations since Q2 2024.
- On a year-over-year basis, Income from Continuing Operations rose in two of the last seven quarters, with an average decline of 15.7%.
- Peak year-over-year performance for Income from Continuing Operations in the last five years was growth of 494.4% in Q3 2021, against a decline of 57.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $33.5 million (Q1 2026), $6.2 million (Q4 2025) and -$40.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.07 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 4.76 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 4.42 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 3.53 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 298.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 978.60 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 363.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | -8.22 Bn |
| 10 | Donnelley Financial Solutions | 1.16 Bn | 1.07 Bn | 148.00 Mn | 36.40 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 42.20 Mn |
Donnelley Financial Solutions Income from Continuing Operations 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=income-from-continuing-operations&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();