Donnelley Financial Solutions (DFIN) Shares Outstanding (Diluted) (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Shares Outstanding (Diluted) of 25.3 million for Q2 2026, down 10.3% from 28.2 million a year earlier and down 3.8% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Donnelley Financial Solutions' Shares Outstanding (Diluted) came in at 28.2 million, down 6.6% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for four consecutive years, with a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Shares Outstanding (Diluted) was 30.2 million in FY2024 (-1.3%), 30.6 million in FY2023 (-5.3%), 32.3 million in FY2022 (-8.2%) and 35.2 million in FY2021 (+3.8%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q3 2015.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined in each of the last nine quarters, with an average decline of 6.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q4 2021, with growth of 3.8%; the weakest was Q1 2023, with a decline of 11.3%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 26.3 million (Q1 2026), 28.2 million (Q4 2025) and 27.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.00 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.84 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Donnelley Financial Solutions | 1.16 Bn | 1.07 Bn | 148.00 Mn | 25.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.30 Mn |
| Mar 31, 2026 | 26.30 Mn |
| Dec 31, 2025 | 28.20 Mn |
| Sep 30, 2025 | 27.40 Mn |
| Jun 30, 2025 | 28.20 Mn |
| Mar 31, 2025 | 29.50 Mn |
| Dec 31, 2024 | 30.20 Mn |
| Sep 30, 2024 | 29.90 Mn |
| Jun 30, 2024 | 30.00 Mn |
| Mar 31, 2024 | 30.50 Mn |
| Dec 31, 2023 | 30.60 Mn |
| Sep 30, 2023 | 30.30 Mn |
| Jun 30, 2023 | 30.40 Mn |
| Mar 31, 2023 | 30.50 Mn |
| Dec 31, 2022 | 32.30 Mn |
| Sep 30, 2022 | 30.90 Mn |
| Jun 30, 2022 | 32.40 Mn |
| Mar 31, 2022 | 34.40 Mn |
| Dec 31, 2021 | 35.20 Mn |
| Sep 30, 2021 | 34.70 Mn |
API Access
Donnelley Financial Solutions Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();