Donnelley Financial Solutions (DFIN) Gains from Sales and Divestitures (2018 - 2025)
Donnelley Financial Solutions (DFIN) posted Gains from Sales and Divestitures of $500,000 for FY2025, down 94.9% from $9.8 million in FY2024.
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Analysis
Donnelley Financial Solutions (DFIN) Gains from Sales and Divestitures (2018 - 2025) Analysis & Trends
Since FY2018, Donnelley Financial Solutions has reported Gains from Sales and Divestitures for 6 years.
- Annual Gains from Sales and Divestitures has run from a low of -$6.1 million in FY2023 to a high of $9.8 million in FY2024 over five years.
- Business Quant data shows DFIN's Gains from Sales and Divestitures at $9.8 million in FY2024, -$6.1 million in FY2023 and -$700,000 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.15 Bn | 1.05 Bn | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 500,000.00 |
| Mar 31, 2024 | 9.80 Mn |
| Dec 31, 2023 | -6.70 Mn |
| Sep 30, 2023 | 200,000.00 |
| Jun 30, 2023 | 100,000.00 |
| Mar 31, 2023 | 300,000.00 |
| Dec 31, 2019 | 22.00 Mn |
| Dec 31, 2018 | 300,000.00 |
API Access
Donnelley Financial Solutions Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();