Donnelley Financial Solutions (DFIN) Tax Provisions (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Tax Provisions of $8.5 million for Q3 2026, compared with -$17 million a year earlier and down 45.9% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Tax Provisions (2015 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Donnelley Financial Solutions was $40 million, up 426.3% year-over-year; for FY2025, it was $10.7 million, down 67.3% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- In prior years, Donnelley Financial Solutions' Tax Provisions was $32.7 million in FY2024 (+65.2%), $19.8 million in FY2023 (-46.2%), $36.8 million in FY2022 (-29.1%) and $51.9 million in FY2021 (+517.9%).
- Quarterly Tax Provisions has run from a low of -$17 million in Q3 2025 to a high of $18.1 million in Q2 2022 over five years.
- On a year-over-year basis, Tax Provisions increased in four of the last five quarters, with growth averaging 86.1%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2025, with growth of 387.5%; the weakest was Q1 2023, with a decline of 68.4%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $15.7 million (Q2 2026), $11.9 million (Q1 2026) and $3.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 13.56 Mn |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 847.00 Mn |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | -844.41 Mn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 1.03 Bn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | 329.70 Mn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 93.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 1.41 Bn |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 8.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.50 Mn |
| Jun 30, 2026 | 15.70 Mn |
| Mar 31, 2026 | 11.90 Mn |
| Dec 31, 2025 | 3.90 Mn |
| Sep 30, 2025 | -17.00 Mn |
| Jun 30, 2025 | 12.60 Mn |
| Mar 31, 2025 | 11.20 Mn |
| Dec 31, 2024 | 800,000.00 |
| Sep 30, 2024 | 6.70 Mn |
| Jun 30, 2024 | 17.10 Mn |
| Mar 31, 2024 | 8.10 Mn |
| Dec 31, 2023 | -3.90 Mn |
| Sep 30, 2023 | 7.70 Mn |
| Jun 30, 2023 | 13.60 Mn |
| Mar 31, 2023 | 2.40 Mn |
| Dec 31, 2022 | 3.10 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 18.10 Mn |
| Mar 31, 2022 | 7.60 Mn |
| Dec 31, 2021 | 7.40 Mn |
API Access
Donnelley Financial Solutions Tax Provisions 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=tax-provisions&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();