Donnelley Financial Solutions (DFIN) Accounts Payables (2015 - 2026)
Donnelley Financial Solutions (DFIN) recorded Accounts Payables of $22.4 million in 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) Accounts Payables (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions reported Accounts Payables of $23.7 million, down 17.4% from FY2024.
- Annual Accounts Payables has declined for three straight years, with a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- Across earlier years, Accounts Payables came in at $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 is the lowest quarterly Accounts Payables in data going back to Q4 2015.
- On a year-over-year basis, Accounts Payables has declined for four consecutive quarters, with an average decline of 14.4% over the last eight quarters.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 35.5% in Q4 2022, against a decline of 40.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 11.06 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 3.19 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 162.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 162.50 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 5.37 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 35.34 Mn |
| 10 | Donnelley Financial Solutions | 1.16 Bn | 1.07 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 | 49.00 Mn |
API Access
Donnelley Financial Solutions Accounts 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=accounts-payables&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();