Donnelley Financial Solutions (DFIN) Gross Margin (2015 - 2026)
Donnelley Financial Solutions (DFIN) reported Gross Margin of 64.76% for Q3 2026, up 2.01 percentage points from 62.75% a year earlier but down 1.26 percentage points from the prior quarter.
Donnelley Financial Solutions (DFIN) Gross Margin (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Donnelley Financial Solutions' Gross Margin came in at 64.66%, up 1.97 percentage points year-over-year; for FY2025, it was 63.44%, up 1.54 percentage points from FY2024.
- Gross Margin has increased for three consecutive years, with a five-year change of +18.89 percentage points (FY2020 to FY2025).
- By year, Gross Margin came in at 61.90% in FY2024 (+3.71 pp), 58.19% in FY2023 (+2.60 pp), 55.59% in FY2022 (-2.82 pp) and 58.41% in FY2021 (+13.86 pp).
- Five-year quarterly Gross Margin spans a low of 53.13% in Q1 2022 and a high of 66.01% in Q2 2026.
- Year over year, Gross Margin has now increased in each of the last five quarters, with an average year-over-year change of +1.69 percentage points over the last eight quarters.
- The high point for year-over-year Gross Margin in five years was Q4 2021 (a gain of 12.56 percentage points); the low point was Q3 2022 (a drop of 6.88 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 66.01% (Q2 2026), 64.04% (Q1 2026) and 63.54% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 83.43% |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | - |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | 73.13% |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 76.65% |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | 46.00% |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 70.51% |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 71.46% |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 64.76% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 64.76% |
| Jun 30, 2026 | 66.01% |
| Mar 31, 2026 | 64.04% |
| Dec 31, 2025 | 63.54% |
| Sep 30, 2025 | 62.75% |
| Jun 30, 2025 | 63.69% |
| Mar 31, 2025 | 63.70% |
| Dec 31, 2024 | 59.95% |
| Sep 30, 2024 | 61.73% |
| Jun 30, 2024 | 64.36% |
| Mar 31, 2024 | 60.62% |
| Dec 31, 2023 | 58.13% |
| Sep 30, 2023 | 60.61% |
| Jun 30, 2023 | 59.44% |
| Mar 31, 2023 | 54.53% |
| Dec 31, 2022 | 54.86% |
| Sep 30, 2022 | 55.54% |
| Jun 30, 2022 | 58.04% |
| Mar 31, 2022 | 53.13% |
| Dec 31, 2021 | 60.40% |
Donnelley Financial Solutions Gross 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=gross-margin&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();