Donnelley Financial Solutions (DFIN) EBIT (2015 - 2026)
Donnelley Financial Solutions' EBIT was $56 million in Q2 2026, up 6.1% from $52.8 million a year earlier and up 15.5% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) EBIT (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Donnelley Financial Solutions' EBIT was $147 million through Jun 30, 2026, up 16.6% year-over-year; for FY2025, it came in at $141.1 million, up 3.3% from FY2024.
- EBIT shows a five-year compound annual growth rate of 108.3% (FY2020 to FY2025).
- In earlier years, EBIT was $136.6 million in FY2024 (+24.2%), $110 million in FY2023 (-24.1%), $145 million in FY2022 (-33.9%) and $219.3 million in FY2021.
- The Q2 2026 figure marks the highest quarterly EBIT since Q2 2024.
- Compared with a year earlier, EBIT has increased for four straight quarters, with growth averaging 7.6% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q3 2021 (growth of 327.6%); the worst was Q3 2022 (a decline of 58.9%).
- Per Business Quant data, DFIN's EBIT in the three quarters before Q2 2026 was $48.5 million (Q1 2026), $14.3 million (Q4 2025) and $28.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 912.00 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 6.73 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 2.33 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.82 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.33 Bn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 56.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.00 Mn |
| Mar 31, 2026 | 48.50 Mn |
| Dec 31, 2025 | 14.30 Mn |
| Sep 30, 2025 | 28.20 Mn |
| Jun 30, 2025 | 52.80 Mn |
| Mar 31, 2025 | 45.80 Mn |
| Dec 31, 2024 | 9.30 Mn |
| Sep 30, 2024 | 18.20 Mn |
| Jun 30, 2024 | 64.50 Mn |
| Mar 31, 2024 | 44.60 Mn |
| Dec 31, 2023 | 9.80 Mn |
| Sep 30, 2023 | 29.80 Mn |
| Jun 30, 2023 | 55.60 Mn |
| Mar 31, 2023 | 14.80 Mn |
| Dec 31, 2022 | 17.10 Mn |
| Sep 30, 2022 | 26.70 Mn |
| Jun 30, 2022 | 65.90 Mn |
| Mar 31, 2022 | 35.30 Mn |
| Dec 31, 2021 | 41.40 Mn |
| Sep 30, 2021 | 65.00 Mn |
API Access
Donnelley Financial Solutions EBIT 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=ebit&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();