Donnelley Financial Solutions (DFIN) EBIT (2015 - 2026)
Donnelley Financial Solutions' EBIT was $32.6 million in Q3 2026, up 15.6% from $28.2 million a year earlier but down 41.8% 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 $151.4 million through Sep 30, 2026, up 11.2% 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.
- Quarterly EBIT has moved between $9.3 million (Q4 2024) and $65.9 million (Q2 2022) over five years.
- Compared with a year earlier, EBIT has increased for five straight quarters, with growth averaging 14.5% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q1 2024 (growth of 201.4%); the worst was Q3 2022 (a decline of 58.9%).
- Per Business Quant data, DFIN's EBIT in the three quarters before Q3 2026 was $56 million (Q2 2026), $48.5 million (Q1 2026) and $14.3 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 1.08 Bn |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 6.73 Bn |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | 3.37 Bn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 2.33 Bn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | -1.65 Bn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 385.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 20.91 Bn |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 32.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.60 Mn |
| 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 |
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();