Donnelley Financial Solutions (DFIN) Revenue (2015 - 2026)
Donnelley Financial Solutions (DFIN) reported Revenue of $224.2 million for Q2 2026, up 2.8% from $218.1 million a year earlier and up 9.1% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Revenue (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Donnelley Financial Solutions' Revenue came in at $777.5 million, up 3.0% year-over-year; for FY2025, it came in at $767 million, down 1.9% from FY2024.
- Revenue has declined for four consecutive years, with a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- By year, Revenue came in at $781.9 million in FY2024 (-1.9%), $797.2 million in FY2023 (-4.4%), $833.6 million in FY2022 (-16.1%) and $993.3 million in FY2021 (+11.0%).
- The Q2 2026 figure ranks as the highest quarterly Revenue since Q2 2024.
- Year over year, Revenue has now increased in each of the last three quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q3 2021 (growth of 18.2%); the low point was Q4 2022 (a decline of 28.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $205.5 million (Q1 2026), $172.5 million (Q4 2025) and $175.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 19.35 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 224.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 224.20 Mn |
| Mar 31, 2026 | 205.50 Mn |
| Dec 31, 2025 | 172.50 Mn |
| Sep 30, 2025 | 175.30 Mn |
| Jun 30, 2025 | 218.10 Mn |
| Mar 31, 2025 | 201.10 Mn |
| Dec 31, 2024 | 156.30 Mn |
| Sep 30, 2024 | 179.50 Mn |
| Jun 30, 2024 | 242.70 Mn |
| Mar 31, 2024 | 203.40 Mn |
| Dec 31, 2023 | 176.50 Mn |
| Sep 30, 2023 | 180.00 Mn |
| Jun 30, 2023 | 242.10 Mn |
| Mar 31, 2023 | 198.60 Mn |
| Dec 31, 2022 | 167.70 Mn |
| Sep 30, 2022 | 188.70 Mn |
| Jun 30, 2022 | 266.20 Mn |
| Mar 31, 2022 | 211.00 Mn |
| Dec 31, 2021 | 232.80 Mn |
| Sep 30, 2021 | 247.70 Mn |
API Access
Donnelley Financial Solutions Revenue 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=revenue&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();