Donnelley Financial Solutions (DFIN) EBITDA Margin (2015 - 2026)
Donnelley Financial Solutions' EBITDA Margin came in at 25.35% for Q3 2026, up 0.59 percentage points from 24.76% a year earlier but down 6.32 percentage points from the prior quarter.
Donnelley Financial Solutions (DFIN) EBITDA Margin (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Donnelley Financial Solutions reported EBITDA Margin of 26.75%, up 0.74 percentage points year-over-year; for FY2025, it was 26.13%, up 0.96 percentage points from FY2024.
- EBITDA Margin carries a five-year change of +17.43 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 25.17% in FY2024 (+2.33 pp), 22.84% in FY2023 (-2.07 pp), 24.92% in FY2022 (-2.96 pp) and 27.88% in FY2021 (+19.18 pp).
- The five-year range for quarterly EBITDA Margin is 15.42% (Q4 2024) to 32.47% (Q2 2024).
- Year-over-year, EBITDA Margin has increased for five consecutive quarters, with an average year-over-year change of +0.78 percentage points over the last eight quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q4 2021 (a gain of 29.51 percentage points), and the weakest in Q3 2022 (a drop of 9.45 percentage points).
- Business Quant data shows DFIN's EBITDA Margin at 31.67% (Q2 2026), 30.90% (Q1 2026) and 16.93% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 47.20% |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 52.36% |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | 31.77% |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 34.25% |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | -21.73% |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 23.23% |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 16,684.34% |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 25.35% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.35% |
| Jun 30, 2026 | 31.67% |
| Mar 31, 2026 | 30.90% |
| Dec 31, 2025 | 16.93% |
| Sep 30, 2025 | 24.76% |
| Jun 30, 2025 | 31.13% |
| Mar 31, 2025 | 29.79% |
| Dec 31, 2024 | 15.42% |
| Sep 30, 2024 | 19.72% |
| Jun 30, 2024 | 32.47% |
| Mar 31, 2024 | 28.76% |
| Dec 31, 2023 | 17.68% |
| Sep 30, 2023 | 26.11% |
| Jun 30, 2023 | 30.15% |
| Mar 31, 2023 | 15.56% |
| Dec 31, 2022 | 20.33% |
| Sep 30, 2022 | 22.52% |
| Jun 30, 2022 | 30.43% |
| Mar 31, 2022 | 23.74% |
| Dec 31, 2021 | 24.14% |
Donnelley Financial Solutions EBITDA Margin 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-margin&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();