Donnelley Financial Solutions (DFIN) Depreciation and Depletion (2015 - 2026)
Donnelley Financial Solutions (DFIN) recorded Depreciation and Depletion of $800,000 in Q3 2026, down 38.5% from $1.3 million a year earlier and down 27.3% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Depreciation and Depletion (2015 - 2026) Analysis & Trends
On a TTM basis, Donnelley Financial Solutions' Depreciation and Depletion came in at $4.2 million as of Sep 30, 2026, down 20.8% year-over-year; for FY2025, it came in at $4.9 million, down 23.4% from FY2024.
- Annual Depreciation and Depletion has a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $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 is the lowest quarterly Depreciation and Depletion in data going back to Q3 2015.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 28.6% in Q4 2021, against a decline of 42.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.1 million (Q2 2026), $1.2 million (Q1 2026) and $1.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 3.20 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 | 162.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 54.00 Mn |
| 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
Download Data
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 |
API Access
Donnelley Financial Solutions Depreciation and Depletion 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-depletion&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();