Donnelley Financial Solutions (DFIN) Cost of Revenue (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Cost of Revenue of $76.2 million for Q2 2026, down 3.8% from $79.2 million a year earlier but up 3.1% from the prior quarter.
Donnelley Financial Solutions (DFIN) Cost of Revenue (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Donnelley Financial Solutions was $278.3 million, down 1.8% year-over-year; for FY2025, it came in at $280.4 million, down 5.9% from FY2024.
- Annual Cost of Revenue has declined for eight consecutive years, with a five-year compound annual growth rate of -10.8% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Cost of Revenue was $297.9 million in FY2024 (-10.6%), $333.3 million in FY2023 (-10.0%), $370.2 million in FY2022 (-10.4%) and $413.1 million in FY2021 (-16.7%).
- Quarterly Cost of Revenue has run from a low of $62.6 million in Q4 2024 to a high of $111.7 million in Q2 2022 over five years.
- On a year-over-year basis, Cost of Revenue increased in two of the last eight quarters, with an average decline of 5.3%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2026, with growth of 1.2%; the weakest was Q4 2022, with a decline of 17.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $73.9 million (Q1 2026), $62.9 million (Q4 2025) and $65.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Donnelley Financial Solutions | 1.15 Bn | 1.05 Bn | 148.00 Mn | 76.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.20 Mn |
| Mar 31, 2026 | 73.90 Mn |
| Dec 31, 2025 | 62.90 Mn |
| Sep 30, 2025 | 65.30 Mn |
| Jun 30, 2025 | 79.20 Mn |
| Mar 31, 2025 | 73.00 Mn |
| Dec 31, 2024 | 62.60 Mn |
| Sep 30, 2024 | 68.70 Mn |
| Jun 30, 2024 | 86.50 Mn |
| Mar 31, 2024 | 80.10 Mn |
| Dec 31, 2023 | 73.90 Mn |
| Sep 30, 2023 | 70.90 Mn |
| Jun 30, 2023 | 98.20 Mn |
| Mar 31, 2023 | 90.30 Mn |
| Dec 31, 2022 | 75.70 Mn |
| Sep 30, 2022 | 83.90 Mn |
| Jun 30, 2022 | 111.70 Mn |
| Mar 31, 2022 | 98.90 Mn |
| Dec 31, 2021 | 92.20 Mn |
| Sep 30, 2021 | 93.10 Mn |
Donnelley Financial Solutions Cost of Revenue 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=cost-of-revenue&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();