Donnelley Financial Solutions (DFIN) Shares Outstanding (2015 - 2026)
Donnelley Financial Solutions' Shares Outstanding was 25.1 million in Q2 2026, down 9.4% from 27.7 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Donnelley Financial Solutions came in at 27.5 million, down 5.8% from FY2024.
- Shares Outstanding has now declined for six consecutive years, with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 29.2 million in FY2024 (-0.3%), 29.3 million in FY2023 (-4.9%), 30.8 million in FY2022 (-8.1%) and 33.5 million in FY2021 (-1.2%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding in data going back to Q3 2015.
- Compared with a year earlier, Shares Outstanding has declined for nine straight quarters, with an average decline of 5.1% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2024 (growth of 0.3%); the worst was Q3 2022 (a decline of 11.6%).
- Per Business Quant data, DFIN's Shares Outstanding in the three quarters before Q2 2026 was 25.7 million (Q1 2026), 27.5 million (Q4 2025) and 27.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 2.40 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 2.97 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.17 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 820.00 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 | 402.30 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.83 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 | 25.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.10 Mn |
| Mar 31, 2026 | 25.70 Mn |
| Dec 31, 2025 | 27.50 Mn |
| Sep 30, 2025 | 27.40 Mn |
| Jun 30, 2025 | 27.70 Mn |
| Mar 31, 2025 | 28.70 Mn |
| Dec 31, 2024 | 29.20 Mn |
| Sep 30, 2024 | 29.10 Mn |
| Jun 30, 2024 | 29.40 Mn |
| Mar 31, 2024 | 29.30 Mn |
| Dec 31, 2023 | 29.30 Mn |
| Sep 30, 2023 | 29.40 Mn |
| Jun 30, 2023 | 29.50 Mn |
| Mar 31, 2023 | 29.20 Mn |
| Dec 31, 2022 | 30.80 Mn |
| Sep 30, 2022 | 29.80 Mn |
| Jun 30, 2022 | 31.50 Mn |
| Mar 31, 2022 | 32.90 Mn |
| Dec 31, 2021 | 33.50 Mn |
| Sep 30, 2021 | 33.70 Mn |
API Access
Donnelley Financial Solutions Shares Outstanding 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&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();