Donnelley Financial Solutions (DFIN) Pension (2016 - 2026)
Donnelley Financial Solutions (DFIN) posted Pension of $23.4 million for Q2 2026, up 1.7% from $23 million a year earlier but down 0.8% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Pension (2016 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Pension came in at $23.8 million, up 2.1% from FY2024.
- Annual Pension shows a five-year compound annual growth rate of -14.1% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Pension was $23.3 million in FY2024 (-32.3%), $34.4 million in FY2023 (-19.8%), $42.9 million in FY2022 (+5.7%) and $40.6 million in FY2021 (-20.4%).
- Quarterly Pension has run from a low of $23 million in Q2 2025 to a high of $44 million in Q3 2021 over five years.
- On a year-over-year basis, Pension has increased in each of the last three quarters, with an average decline of 16.8% over the last eight quarters.
- The strongest year-over-year quarter for Pension in the past five years was Q3 2023, with growth of 11.9%; the weakest was Q4 2024, with a decline of 32.3%.
- According to Business Quant data, Pension for the three prior quarters was $23.6 million (Q1 2026), $23.8 million (Q4 2025) and $23.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.40 Mn |
| Mar 31, 2026 | 23.60 Mn |
| Dec 31, 2025 | 23.80 Mn |
| Sep 30, 2025 | 23.10 Mn |
| Jun 30, 2025 | 23.00 Mn |
| Mar 31, 2025 | 23.10 Mn |
| Dec 31, 2024 | 23.30 Mn |
| Sep 30, 2024 | 31.20 Mn |
| Jun 30, 2024 | 32.30 Mn |
| Mar 31, 2024 | 33.40 Mn |
| Dec 31, 2023 | 34.40 Mn |
| Sep 30, 2023 | 40.50 Mn |
| Jun 30, 2023 | 41.30 Mn |
| Mar 31, 2023 | 42.10 Mn |
| Dec 31, 2022 | 42.90 Mn |
| Sep 30, 2022 | 36.20 Mn |
| Jun 30, 2022 | 37.80 Mn |
| Mar 31, 2022 | 39.30 Mn |
| Dec 31, 2021 | 40.60 Mn |
| Sep 30, 2021 | 44.00 Mn |
API Access
Donnelley Financial Solutions Pension 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=pension&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();