Donnelley Financial Solutions (DFIN) Change in Accrued Expenses (2015 - 2026)
Donnelley Financial Solutions (DFIN) reported Change in Accrued Expenses of $15.4 million for Q3 2026, up 40.0% from $11 million a year earlier but down 24.1% from the prior quarter.
Powered by 
Analysis
Donnelley Financial Solutions (DFIN) Change in Accrued Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Donnelley Financial Solutions' Change in Accrued Expenses came in at $23.5 million; for FY2025, it came in at -$5.7 million.
- By year, Change in Accrued 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%).
- Five-year quarterly Change in Accrued Expenses spans a low of -$81.1 million in Q1 2022 and a high of $28.8 million in Q2 2022.
- Year over year, Change in Accrued Expenses gained in four of the last six quarters, with growth averaging 11.3%.
- The high point for year-over-year Change in Accrued 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 Q3 2026 came in at $20.3 million (Q2 2026), -$26 million (Q1 2026) and $13.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 116.14 Mn |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | -1.08 Bn |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | 791.49 Mn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 891.00 Mn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | -389.40 Mn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 37.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | -4.08 Mn |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 15.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.40 Mn |
| 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 |
API Access
Donnelley Financial Solutions Change in Accrued 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();