Donnelley Financial Solutions (DFIN) Payables (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Payables of $22.4 million for Q2 2026, down 40.9% from $37.9 million a year earlier and down 36.2% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Payables (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Payables came in at $23.7 million, down 17.4% from FY2024.
- Annual Payables has declined for three consecutive years, with a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Payables was $28.7 million in FY2024 (-15.3%), $33.9 million in FY2023 (-31.1%), $49.2 million in FY2022 (+35.5%) and $36.3 million in FY2021 (-33.0%).
- The Q2 2026 figure stands as the lowest quarterly Payables in data going back to Q4 2015.
- On a year-over-year basis, Payables has declined in each of the last four quarters, with an average decline of 14.4% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q3 2021, with growth of 89.2%; the weakest was Q3 2022, with a decline of 53.0%.
- According to Business Quant data, Payables for the three prior quarters was $35.1 million (Q1 2026), $23.7 million (Q4 2025) and $27.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 18.69 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.19 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.24 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 834.40 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 5.37 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 190.50 Mn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 22.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.40 Mn |
| Mar 31, 2026 | 35.10 Mn |
| Dec 31, 2025 | 23.70 Mn |
| Sep 30, 2025 | 27.80 Mn |
| Jun 30, 2025 | 37.90 Mn |
| Mar 31, 2025 | 38.40 Mn |
| Dec 31, 2024 | 28.70 Mn |
| Sep 30, 2024 | 33.80 Mn |
| Jun 30, 2024 | 35.60 Mn |
| Mar 31, 2024 | 44.00 Mn |
| Dec 31, 2023 | 33.90 Mn |
| Sep 30, 2023 | 37.20 Mn |
| Jun 30, 2023 | 51.60 Mn |
| Mar 31, 2023 | 53.60 Mn |
| Dec 31, 2022 | 49.20 Mn |
| Sep 30, 2022 | 42.10 Mn |
| Jun 30, 2022 | 60.70 Mn |
| Mar 31, 2022 | 54.80 Mn |
| Dec 31, 2021 | 36.30 Mn |
| Sep 30, 2021 | 89.50 Mn |
API Access
Donnelley Financial Solutions Payables 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=payables&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();