Donnelley Financial Solutions (DFIN) Capital Expenditures (2015 - 2026)
Donnelley Financial Solutions (DFIN) reported Capital Expenditures of $12.4 million for Q3 2026, down 18.4% from $15.2 million a year earlier and down 8.1% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Capital Expenditures (2015 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Donnelley Financial Solutions' Capital Expenditures came in at $48.2 million, down 20.1% year-over-year; for FY2025, it was $57.1 million, down 13.4% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $65.9 million in FY2024 (+6.6%), $61.8 million in FY2023 (+14.0%), $54.2 million in FY2022 (+28.1%) and $42.3 million in FY2021 (+36.0%).
- Five-year quarterly Capital Expenditures spans a low of $9.9 million in Q1 2022 and a high of $19.4 million in Q2 2024.
- Year over year, Capital Expenditures has now declined in each of the last six quarters, with an average decline of 15.8% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q4 2021 (growth of 113.6%); the low point was Q1 2026 (a decline of 21.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $13.5 million (Q2 2026), $10.4 million (Q1 2026) and $11.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | 8.01 Mn |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | 28.50 Bn |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | -192.12 Mn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | 171.00 Mn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | 52.70 Mn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | 91.00 Mn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | 27.00 Mn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | 462,000.00 |
| 10 | Donnelley Financial Solutions | 1.67 Bn | 1.57 Bn | 119.80 Mn | 12.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.40 Mn |
| Jun 30, 2026 | 13.50 Mn |
| Mar 31, 2026 | 10.40 Mn |
| Dec 31, 2025 | 11.90 Mn |
| Sep 30, 2025 | 15.20 Mn |
| Jun 30, 2025 | 16.70 Mn |
| Mar 31, 2025 | 13.30 Mn |
| Dec 31, 2024 | 15.10 Mn |
| Sep 30, 2024 | 19.10 Mn |
| Jun 30, 2024 | 19.40 Mn |
| Mar 31, 2024 | 12.30 Mn |
| Dec 31, 2023 | 18.80 Mn |
| Sep 30, 2023 | 19.20 Mn |
| Jun 30, 2023 | 13.20 Mn |
| Mar 31, 2023 | 10.60 Mn |
| Dec 31, 2022 | 14.80 Mn |
| Sep 30, 2022 | 14.60 Mn |
| Jun 30, 2022 | 14.90 Mn |
| Mar 31, 2022 | 9.90 Mn |
| Dec 31, 2021 | 14.10 Mn |
API Access
Donnelley Financial Solutions Capital Expenditures 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=capital-expenditures&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();