Donnelley Financial Solutions (DFIN) Operating Margin (2015 - 2026)
Donnelley Financial Solutions' Operating Margin was 24.98% in Q2 2026, up 0.77 percentage points from 24.21% a year earlier and up 1.38 percentage points from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Operating Margin (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Donnelley Financial Solutions' Operating Margin was 18.91% through Jun 30, 2026, up 2.20 percentage points year-over-year; for FY2025, it came in at 18.40%, up 0.93 percentage points from FY2024.
- Operating Margin shows a five-year change of +17.99 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 17.47% in FY2024 (+3.67 pp), 13.80% in FY2023 (-3.60 pp), 17.39% in FY2022 (-4.68 pp) and 22.08% in FY2021 (+21.68 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin since Q2 2024.
- Compared with a year earlier, Operating Margin has increased for four straight quarters, with an average year-over-year change of +0.29 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2021 (a gain of 30.81 percentage points); the worst was Q3 2022 (a drop of 12.09 percentage points).
- Per Business Quant data, DFIN's Operating Margin in the three quarters before Q2 2026 was 23.60% (Q1 2026), 8.29% (Q4 2025) and 16.09% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 24.98% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.98% |
| Mar 31, 2026 | 23.60% |
| Dec 31, 2025 | 8.29% |
| Sep 30, 2025 | 16.09% |
| Jun 30, 2025 | 24.21% |
| Mar 31, 2025 | 22.77% |
| Dec 31, 2024 | 5.95% |
| Sep 30, 2024 | 10.14% |
| Jun 30, 2024 | 26.58% |
| Mar 31, 2024 | 21.93% |
| Dec 31, 2023 | 5.55% |
| Sep 30, 2023 | 16.56% |
| Jun 30, 2023 | 22.97% |
| Mar 31, 2023 | 7.45% |
| Dec 31, 2022 | 10.20% |
| Sep 30, 2022 | 14.15% |
| Jun 30, 2022 | 24.76% |
| Mar 31, 2022 | 16.73% |
| Dec 31, 2021 | 17.78% |
| Sep 30, 2021 | 26.24% |
API Access
Donnelley Financial Solutions Operating 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=operating-margin&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();