Donnelley Financial Solutions (DFIN) Tax Provisions (2015 - 2026)
Donnelley Financial Solutions (DFIN) posted Tax Provisions of $15.7 million for Q2 2026, up 24.6% from $12.6 million a year earlier and up 31.9% 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 Jun 30, 2026, Tax Provisions at Donnelley Financial Solutions was $14.5 million, down 53.7% 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%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q2 2024.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 69.6% over the last six quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2021, with growth of 615.4%; the weakest was Q1 2023, with a decline of 68.4%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $11.9 million (Q1 2026), $3.9 million (Q4 2025) and -$17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 15.38 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 847.00 Mn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -926.40 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 1.03 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 140.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 279.20 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 177.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 1.56 Mn |
| 10 | Donnelley Financial Solutions | 1.16 Bn | 1.07 Bn | 148.00 Mn | 15.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 18.60 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();