Donnelley Financial Solutions (DFIN) Shares Repurchased (2017 - 2026)
Donnelley Financial Solutions' Shares Repurchased was $7 million in Q3 2026, down 79.7% from $34.4 million a year earlier and down 80.2% from the prior quarter.
Donnelley Financial Solutions (DFIN) Shares Repurchased (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Donnelley Financial Solutions' Shares Repurchased was $145.1 million through Sep 30, 2026, up 3.4% year-over-year; for FY2025, it came in at $185 million, up 126.7% from FY2024.
- Shares Repurchased shows a five-year compound annual growth rate of 73.4% (FY2020 to FY2025).
- In earlier years, Shares Repurchased was $81.6 million in FY2024 (+102.5%), $40.3 million in FY2023 (-75.5%), $164.7 million in FY2022 (+302.7%) and $40.9 million in FY2021 (+246.6%).
- The Q3 2026 figure marks the lowest quarterly Shares Repurchased since Q4 2023.
- Compared with a year earlier, Shares Repurchased has declined for three straight quarters, with growth averaging 88.7% over the last eight quarters.
- The best year-over-year quarter for Shares Repurchased over five years was Q4 2021 (growth of 860.0%); the worst was Q2 2023 (a decline of 96.6%).
- Per Business Quant data, DFIN's Shares Repurchased in the three quarters before Q3 2026 was $35.3 million (Q2 2026), $40.9 million (Q1 2026) and $61.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Repurchased (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | - |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | -1.75 Bn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 84.00 Mn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | 758.80 Mn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | - |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 2.07 Bn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | - |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 7.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.00 Mn |
| Jun 30, 2026 | 35.30 Mn |
| Mar 31, 2026 | 40.90 Mn |
| Dec 31, 2025 | 61.90 Mn |
| Sep 30, 2025 | 34.40 Mn |
| Jun 30, 2025 | 35.70 Mn |
| Mar 31, 2025 | 53.00 Mn |
| Dec 31, 2024 | 17.20 Mn |
| Sep 30, 2024 | 13.70 Mn |
| Jun 30, 2024 | 19.90 Mn |
| Mar 31, 2024 | 30.80 Mn |
| Dec 31, 2023 | 4.90 Mn |
| Sep 30, 2023 | 14.80 Mn |
| Jun 30, 2023 | 2.20 Mn |
| Mar 31, 2023 | 18.40 Mn |
| Dec 31, 2022 | 14.70 Mn |
| Sep 30, 2022 | 33.40 Mn |
| Jun 30, 2022 | 64.00 Mn |
| Mar 31, 2022 | 52.60 Mn |
| Dec 31, 2021 | 14.40 Mn |
Donnelley Financial Solutions Shares Repurchased 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-repurchased&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-repurchased", "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-repurchased&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();