Donnelley Financial Solutions (DFIN) Receivables - Net (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Receivables - Net of $193.1 million for Q2 2026, down 4.4% from $202 million a year earlier and down 4.4% from the prior quarter.
Donnelley Financial Solutions (DFIN) Receivables - Net (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Receivables - Net came in at $143 million, up 3.6% from FY2024.
- Annual Receivables - Net shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Receivables - Net was $138 million in FY2024 (-9.1%), $151.8 million in FY2023 (-7.2%), $163.5 million in FY2022 (-17.9%) and $199.1 million in FY2021 (+14.8%).
- Quarterly Receivables - Net has run from a low of $138 million in Q4 2024 to a high of $273.4 million in Q2 2022 over five years.
- On a year-over-year basis, Receivables - Net increased in three of the last eight quarters, with an average decline of 3.6%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was Q4 2021, with growth of 14.8%; the weakest was Q4 2022, with a decline of 17.9%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $201.9 million (Q1 2026), $143 million (Q4 2025) and $161 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.10 Mn |
| Mar 31, 2026 | 201.90 Mn |
| Dec 31, 2025 | 143.00 Mn |
| Sep 30, 2025 | 161.00 Mn |
| Jun 30, 2025 | 202.00 Mn |
| Mar 31, 2025 | 198.20 Mn |
| Dec 31, 2024 | 138.00 Mn |
| Sep 30, 2024 | 178.00 Mn |
| Jun 30, 2024 | 217.00 Mn |
| Mar 31, 2024 | 194.20 Mn |
| Dec 31, 2023 | 151.80 Mn |
| Sep 30, 2023 | 189.70 Mn |
| Jun 30, 2023 | 243.10 Mn |
| Mar 31, 2023 | 199.70 Mn |
| Dec 31, 2022 | 163.50 Mn |
| Sep 30, 2022 | 210.80 Mn |
| Jun 30, 2022 | 273.40 Mn |
| Mar 31, 2022 | 218.80 Mn |
| Dec 31, 2021 | 199.10 Mn |
| Sep 30, 2021 | 244.40 Mn |
Donnelley Financial Solutions Receivables - Net 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=receivables-net&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();