Donnelley Financial Solutions (DFIN) Selling, General & Administrative (2016 - 2026)
Analysis
Donnelley Financial Solutions (DFIN) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 228.85 Mn |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 376.00 Mn |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | 473.98 Mn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 725.00 Mn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | 1.06 Bn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 283.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 35.91 Mn |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 72.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.90 Mn |
| Jun 30, 2026 | 74.70 Mn |
| Mar 31, 2026 | 67.40 Mn |
| Dec 31, 2025 | 74.80 Mn |
| Sep 30, 2025 | 67.30 Mn |
| Jun 30, 2025 | 70.00 Mn |
| Mar 31, 2025 | 65.80 Mn |
| Dec 31, 2024 | 68.00 Mn |
| Sep 30, 2024 | 74.00 Mn |
| Jun 30, 2024 | 76.10 Mn |
| Mar 31, 2024 | 72.80 Mn |
| Dec 31, 2023 | 70.00 Mn |
| Sep 30, 2023 | 65.40 Mn |
| Jun 30, 2023 | 76.20 Mn |
| Mar 31, 2023 | 70.50 Mn |
| Dec 31, 2022 | 58.50 Mn |
| Sep 30, 2022 | 63.80 Mn |
| Jun 30, 2022 | 77.40 Mn |
| Mar 31, 2022 | 64.30 Mn |
| Dec 31, 2021 | 82.10 Mn |
API Access
Donnelley Financial Solutions Selling, General & Administrative 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=selling-general-and-administrative&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();