Donnelley Financial Solutions (DFIN) Depreciation and Depletion (2015 - 2026)
Donnelley Financial Solutions (DFIN) recorded Depreciation and Depletion of $1.1 million in Q2 2026, down 15.4% from $1.3 million a year earlier and down 8.3% 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 $4.7 million as of Jun 30, 2026, down 16.1% 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%).
- Quarterly Depreciation and Depletion has ranged from $1.1 million in Q4 2025 to $2.6 million in Q4 2023 over the past five years.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 66.7% in Q3 2021, against a decline of 42.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.2 million (Q1 2026), $1.1 million (Q4 2025) and $1.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | - |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 3.20 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | - |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | - |
| 10 | Donnelley Financial Solutions | 1.17 Bn | 1.07 Bn | 148.00 Mn | 1.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.50 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();