Donnelley Financial Solutions (DFIN) Property, Plant & Equipment (Net) (2015 - 2026)
Donnelley Financial Solutions (DFIN) reported Property, Plant & Equipment (Net) of $7.1 million for Q2 2026, down 5.3% from $7.5 million a year earlier and down 7.8% from the prior quarter.
Donnelley Financial Solutions (DFIN) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions posted Property, Plant & Equipment (Net) of $8.8 million, down 1.1% from FY2024.
- Property, Plant & Equipment (Net) has declined for four consecutive years, with a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $8.9 million in FY2024 (-34.1%), $13.5 million in FY2023 (-23.3%), $17.6 million in FY2022 (-5.9%) and $18.7 million in FY2021 (+55.8%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $6.8 million in Q3 2025 and a high of $20.8 million in Q2 2022.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 16 quarters, with an average decline of 23.1% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 55.8%); the low point was Q3 2025 (a decline of 40.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.7 million (Q1 2026), $8.8 million (Q4 2025) and $6.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Donnelley Financial Solutions | 1.15 Bn | 1.05 Bn | 148.00 Mn | 7.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.10 Mn |
| Mar 31, 2026 | 7.70 Mn |
| Dec 31, 2025 | 8.80 Mn |
| Sep 30, 2025 | 6.80 Mn |
| Jun 30, 2025 | 7.50 Mn |
| Mar 31, 2025 | 8.10 Mn |
| Dec 31, 2024 | 8.90 Mn |
| Sep 30, 2024 | 11.50 Mn |
| Jun 30, 2024 | 12.50 Mn |
| Mar 31, 2024 | 12.70 Mn |
| Dec 31, 2023 | 13.50 Mn |
| Sep 30, 2023 | 14.80 Mn |
| Jun 30, 2023 | 16.40 Mn |
| Mar 31, 2023 | 18.20 Mn |
| Dec 31, 2022 | 17.60 Mn |
| Sep 30, 2022 | 17.70 Mn |
| Jun 30, 2022 | 20.80 Mn |
| Mar 31, 2022 | 18.40 Mn |
| Dec 31, 2021 | 18.70 Mn |
| Sep 30, 2021 | 17.90 Mn |
Donnelley Financial Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();