Donnelley Financial Solutions (DFIN) Goodwill & Intangibles (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Goodwill & Intangibles of $405.5 million for Q2 2026, down 0.1% from $405.9 million a year earlier and unchanged from the prior quarter.
Donnelley Financial Solutions (DFIN) Goodwill & Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Goodwill & Intangibles came in at $405.8 million, up 0.1% from FY2024.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Goodwill & Intangibles was $405.4 million in FY2024 (-0.1%), $405.8 million in FY2023 (-1.9%), $413.6 million in FY2022 (-1.2%) and $418.7 million in FY2021 (-0.2%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q1 2025.
- On a year-over-year basis, Goodwill & Intangibles increased in two of the last eight quarters, with an average decline of 0.2%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q4 2025, with growth of 0.1%; the weakest was Q3 2021, with a decline of 9.3%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $405.6 million (Q1 2026), $405.8 million (Q4 2025) and $405.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.17 Bn | 1.07 Bn | 148.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 405.50 Mn |
| Mar 31, 2026 | 405.60 Mn |
| Dec 31, 2025 | 405.80 Mn |
| Sep 30, 2025 | 405.70 Mn |
| Jun 30, 2025 | 405.90 Mn |
| Mar 31, 2025 | 405.40 Mn |
| Dec 31, 2024 | 405.40 Mn |
| Sep 30, 2024 | 405.90 Mn |
| Jun 30, 2024 | 405.60 Mn |
| Mar 31, 2024 | 405.70 Mn |
| Dec 31, 2023 | 405.80 Mn |
| Sep 30, 2023 | 411.40 Mn |
| Jun 30, 2023 | 412.60 Mn |
| Mar 31, 2023 | 413.40 Mn |
| Dec 31, 2022 | 413.60 Mn |
| Sep 30, 2022 | 417.00 Mn |
| Jun 30, 2022 | 417.80 Mn |
| Mar 31, 2022 | 418.40 Mn |
| Dec 31, 2021 | 418.70 Mn |
| Sep 30, 2021 | 419.00 Mn |
Donnelley Financial Solutions Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();