Donnelley Financial Solutions (DFIN) Change in Accured Expenses (2015 - 2026)
Donnelley Financial Solutions (DFIN) reported Change in Accured Expenses of $20.3 million for Q2 2026, up 24.5% from $16.3 million a year earlier.
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Analysis
Donnelley Financial Solutions (DFIN) Change in Accured Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Donnelley Financial Solutions' Change in Accured Expenses came in at $19.1 million; for FY2025, it came in at -$5.7 million.
- By year, Change in Accured Expenses came in at $16.9 million in FY2024, -$13.8 million in FY2023, -$53.7 million in FY2022 and $36.6 million in FY2021 (-53.8%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses since Q2 2024.
- Year over year, Change in Accured Expenses gained in three of the last five quarters, with growth averaging 5.5%.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2024 (growth of 114.6%); the low point was Q3 2023 (a decline of 86.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$26 million (Q1 2026), $13.8 million (Q4 2025) and $11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Donnelley Financial Solutions | 1.15 Bn | 1.05 Bn | 148.00 Mn | 20.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.30 Mn |
| Mar 31, 2026 | -26.00 Mn |
| Dec 31, 2025 | 13.80 Mn |
| Sep 30, 2025 | 11.00 Mn |
| Jun 30, 2025 | 16.30 Mn |
| Mar 31, 2025 | -46.80 Mn |
| Dec 31, 2024 | 11.40 Mn |
| Sep 30, 2024 | 16.80 Mn |
| Jun 30, 2024 | 20.60 Mn |
| Mar 31, 2024 | -31.90 Mn |
| Dec 31, 2023 | 8.30 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 9.60 Mn |
| Mar 31, 2023 | -32.80 Mn |
| Dec 31, 2022 | -9.50 Mn |
| Sep 30, 2022 | 8.10 Mn |
| Jun 30, 2022 | 28.80 Mn |
| Mar 31, 2022 | -81.10 Mn |
| Dec 31, 2021 | 15.40 Mn |
| Sep 30, 2021 | 40.50 Mn |
API Access
Donnelley Financial Solutions Change in Accured Expenses 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=change-in-accured-expenses&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();