Donnelley Financial Solutions (DFIN) EBITDA (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted EBITDA of $71 million for Q2 2026, up 4.6% from $67.9 million a year earlier and up 11.8% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) EBITDA (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Donnelley Financial Solutions was $207.1 million, up 10.6% year-over-year; for FY2025, it was $200.4 million, up 1.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' EBITDA was $196.8 million in FY2024 (+18.1%), $166.7 million in FY2023 (-12.9%), $191.3 million in FY2022 (-26.3%) and $259.6 million in FY2021 (+376.3%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q2 2024.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 2.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 169.8%; the weakest was Q3 2022, with a decline of 48.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $63.5 million (Q1 2026), $29.2 million (Q4 2025) and $43.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 10.13 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 384.00 Mn |
| 10 | Donnelley Financial Solutions | 1.32 Bn | 1.22 Bn | 148.00 Mn | 71.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.00 Mn |
| Mar 31, 2026 | 63.50 Mn |
| Dec 31, 2025 | 29.20 Mn |
| Sep 30, 2025 | 43.40 Mn |
| Jun 30, 2025 | 67.90 Mn |
| Mar 31, 2025 | 59.90 Mn |
| Dec 31, 2024 | 24.10 Mn |
| Sep 30, 2024 | 35.40 Mn |
| Jun 30, 2024 | 78.80 Mn |
| Mar 31, 2024 | 58.50 Mn |
| Dec 31, 2023 | 31.20 Mn |
| Sep 30, 2023 | 47.00 Mn |
| Jun 30, 2023 | 73.00 Mn |
| Mar 31, 2023 | 30.90 Mn |
| Dec 31, 2022 | 34.10 Mn |
| Sep 30, 2022 | 42.50 Mn |
| Jun 30, 2022 | 81.00 Mn |
| Mar 31, 2022 | 50.10 Mn |
| Dec 31, 2021 | 56.20 Mn |
| Sep 30, 2021 | 79.20 Mn |
API Access
Donnelley Financial Solutions EBITDA 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=ebitda&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();