Donnelley Financial Solutions (DFIN) Depreciation & Amortization - Total (2015 - 2026)
Donnelley Financial Solutions' Depreciation & Amortization - Total came in at $800,000 for Q3 2026, down 38.5% from $1.3 million a year earlier and down 27.3% from the prior quarter.
Donnelley Financial Solutions (DFIN) Depreciation & Amortization - Total (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Donnelley Financial Solutions reported Depreciation & Amortization - Total of $4.2 million, down 20.8% year-over-year; for FY2025, it came in at $4.9 million, down 23.4% from FY2024.
- Depreciation & Amortization - Total carries a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization - Total was $6.4 million in FY2024 (-23.8%), $8.4 million in FY2023 (+18.3%), $7.1 million in FY2022 (+10.9%) and $6.4 million in FY2021 (-21.0%).
- The Q3 2026 figure represents the lowest quarterly Depreciation & Amortization - Total in data going back to Q3 2015.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in Q4 2021 (growth of 28.6%), and the weakest in Q4 2024 (a decline of 42.3%).
- Business Quant data shows DFIN's Depreciation & Amortization - Total at $1.1 million (Q2 2026), $1.2 million (Q1 2026) and $1.1 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | - |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | - |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | - |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | - |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 800,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 800,000.00 |
| Jun 30, 2026 | 1.10 Mn |
| Mar 31, 2026 | 1.20 Mn |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.20 Mn |
| Dec 31, 2024 | 1.50 Mn |
| Sep 30, 2024 | 1.60 Mn |
| Jun 30, 2024 | 1.50 Mn |
| Mar 31, 2024 | 1.80 Mn |
| Dec 31, 2023 | 2.60 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 1.90 Mn |
| Mar 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | 2.30 Mn |
| Sep 30, 2022 | 1.70 Mn |
| Jun 30, 2022 | 1.50 Mn |
| Mar 31, 2022 | 1.60 Mn |
| Dec 31, 2021 | 1.80 Mn |
Donnelley Financial Solutions Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();