Donnelley Financial Solutions (DFIN) Non-Current Assets (2015 - 2026)
Donnelley Financial Solutions' Non-Current Assets came in at $579.1 million for Q2 2026, down 4.8% from $608.1 million a year earlier and down 0.1% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions' Non-Current Assets was $589 million, down 3.3% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $609.1 million in FY2024 (+1.8%), $598.4 million in FY2023 (-0.3%), $599.9 million in FY2022 (-0.6%) and $603.6 million in FY2021 (+0.9%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets in data going back to Q4 2015.
- Year-over-year, Non-Current Assets has declined for four consecutive quarters, with an average decline of 1.3% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2022 (growth of 2.7%), and the weakest in Q3 2021 (a decline of 5.2%).
- Business Quant data shows DFIN's Non-Current Assets at $579.7 million (Q1 2026), $589 million (Q4 2025) and $598.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 579.05 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 247.63 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 61.56 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 87.54 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 23.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 10.63 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 21.48 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 49.89 Bn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 579.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 579.10 Mn |
| Mar 31, 2026 | 579.70 Mn |
| Dec 31, 2025 | 589.00 Mn |
| Sep 30, 2025 | 598.60 Mn |
| Jun 30, 2025 | 608.10 Mn |
| Mar 31, 2025 | 609.90 Mn |
| Dec 31, 2024 | 609.10 Mn |
| Sep 30, 2024 | 606.30 Mn |
| Jun 30, 2024 | 604.30 Mn |
| Mar 31, 2024 | 599.70 Mn |
| Dec 31, 2023 | 598.40 Mn |
| Sep 30, 2023 | 609.40 Mn |
| Jun 30, 2023 | 606.20 Mn |
| Mar 31, 2023 | 604.90 Mn |
| Dec 31, 2022 | 599.90 Mn |
| Sep 30, 2022 | 599.10 Mn |
| Jun 30, 2022 | 606.80 Mn |
| Mar 31, 2022 | 607.40 Mn |
| Dec 31, 2021 | 603.60 Mn |
| Sep 30, 2021 | 599.60 Mn |
API Access
Donnelley Financial Solutions Non-Current Assets 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=non-current-assets&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();