Donnelley Financial Solutions (DFIN) Retained Earnings (2016 - 2026)
Donnelley Financial Solutions (DFIN) posted Retained Earnings of $630.8 million for Q2 2026, up 5.9% from $595.6 million a year earlier and up 6.1% from the prior quarter.
Powered by 
Analysis
Donnelley Financial Solutions (DFIN) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Retained Earnings came in at $560.9 million, up 6.1% from FY2024.
- Annual Retained Earnings has increased for five consecutive years, with a five-year compound annual growth rate of 39.7% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Retained Earnings was $528.5 million in FY2024 (+21.2%), $436.1 million in FY2023 (+23.2%), $353.9 million in FY2022 (+40.8%) and $251.4 million in FY2021 (+138.3%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2016.
- On a year-over-year basis, Retained Earnings has increased in each of the last 22 quarters, with growth averaging 12.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 5.9% (Q2 2026) to 138.3% (Q4 2021).
- According to Business Quant data, Retained Earnings for the three prior quarters was $594.4 million (Q1 2026), $560.9 million (Q4 2025) and $554.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 476.89 Bn | 445.84 Bn | 1.64 Bn | -1.63 Bn |
| 2 | Oracle | 384.19 Bn | 256.32 Bn | - | -1.11 Bn |
| 3 | Sap Se | 272.04 Bn | 199.82 Bn | 8.40 Bn | 55.49 Bn |
| 4 | Salesforce | 198.78 Bn | 154.66 Bn | 8.70 Bn | 27.11 Bn |
| 5 | ServiceNow | 158.50 Bn | 136.96 Bn | 2.82 Bn | 6.01 Bn |
| 6 | Automatic Data Processing | 118.85 Bn | 100.97 Bn | 2.51 Bn | 26.97 Bn |
| 7 | Intuit | 92.14 Bn | 71.49 Bn | 3.44 Bn | 19.05 Bn |
| 8 | Relx | 73.05 Bn | 72.15 Bn | - | - |
| 9 | Strategy | 53.50 Bn | 46.49 Bn | 81.55 Mn | -15.20 Bn |
| 10 | Donnelley Financial Solutions | 1.35 Bn | 1.25 Bn | 148.00 Mn | 630.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 630.80 Mn |
| Mar 31, 2026 | 594.40 Mn |
| Dec 31, 2025 | 560.90 Mn |
| Sep 30, 2025 | 554.70 Mn |
| Jun 30, 2025 | 595.60 Mn |
| Mar 31, 2025 | 559.50 Mn |
| Dec 31, 2024 | 528.50 Mn |
| Sep 30, 2024 | 522.20 Mn |
| Jun 30, 2024 | 513.50 Mn |
| Mar 31, 2024 | 469.40 Mn |
| Dec 31, 2023 | 436.10 Mn |
| Sep 30, 2023 | 425.50 Mn |
| Jun 30, 2023 | 407.40 Mn |
| Mar 31, 2023 | 369.70 Mn |
| Dec 31, 2022 | 353.90 Mn |
| Sep 30, 2022 | 343.00 Mn |
| Jun 30, 2022 | 323.80 Mn |
| Mar 31, 2022 | 277.80 Mn |
| Dec 31, 2021 | 251.40 Mn |
| Sep 30, 2021 | 225.80 Mn |
API Access
Donnelley Financial Solutions Retained Earnings 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=retained-earnings&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();