Donnelley Financial Solutions (DFIN) Enterprise Value (2016 - 2026)
Donnelley Financial Solutions' Enterprise Value came in at $1.01 billion for Q2 2026, down 39.2% from $1.66 billion a year earlier and down 13.7% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Enterprise Value (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Donnelley Financial Solutions reported Enterprise Value of $937.57 million, down 39.7% year-over-year; for FY2025, it was $1.17 billion, down 32.8% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- Going back by year, Enterprise Value was $1.74 billion in FY2024 (-2.7%), $1.79 billion in FY2023 (+65.5%), $1.08 billion in FY2022 (-27.9%) and $1.5 billion in FY2021 (+205.4%).
- The Q2 2026 figure represents the lowest quarterly Enterprise Value since Q2 2022.
- Year-over-year, Enterprise Value has declined for seven consecutive quarters, with an average decline of 15.6% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2021 (growth of 205.4%), and the weakest in Q2 2026 (a decline of 39.2%).
- Business Quant data shows DFIN's Enterprise Value at $1.17 billion (Q1 2026), $1.17 billion (Q4 2025) and $1.36 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.66 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.74 Bn |
| Sep 30, 2024 | 1.87 Bn |
| Jun 30, 2024 | 1.70 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Dec 31, 2023 | 1.79 Bn |
| Sep 30, 2023 | 1.63 Bn |
| Jun 30, 2023 | 1.32 Bn |
| Mar 31, 2023 | 1.18 Bn |
| Dec 31, 2022 | 1.08 Bn |
| Sep 30, 2022 | 1.07 Bn |
| Jun 30, 2022 | 869.69 Mn |
| Mar 31, 2022 | 1.07 Bn |
| Dec 31, 2021 | 1.50 Bn |
| Sep 30, 2021 | 1.03 Bn |
API Access
Donnelley Financial Solutions Enterprise Value 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=enterprise-value&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();