Donnelley Financial Solutions (DFIN) Current Assets (2015 - 2026)
Donnelley Financial Solutions (DFIN) recorded Current Assets of $255.2 million in Q2 2026, down 4.3% from $266.6 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Donnelley Financial Solutions reported Current Assets of $211.4 million, down 9.1% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $232.5 million in FY2024 (+11.5%), $208.5 million in FY2023 (-8.7%), $228.4 million in FY2022 (-18.3%) and $279.7 million in FY2021 (+4.7%).
- Quarterly Current Assets has ranged from $208.5 million in Q4 2023 to $394.9 million in Q3 2021 over the past five years.
- On a year-over-year basis, Current Assets rose in three of the last eight quarters, with an average decline of 1.6%.
- Peak year-over-year performance for Current Assets in the last five years was growth of 32.7% in Q3 2021, against a decline of 36.3% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $261.1 million (Q1 2026), $211.4 million (Q4 2025) and $217.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 11.10 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 55.63 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.33 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 22.08 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 8.51 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 52.56 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 15.31 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 2.67 Bn |
| 10 | Donnelley Financial Solutions | 1.18 Bn | 1.08 Bn | 148.00 Mn | 255.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 255.20 Mn |
| Mar 31, 2026 | 261.10 Mn |
| Dec 31, 2025 | 211.40 Mn |
| Sep 30, 2025 | 217.70 Mn |
| Jun 30, 2025 | 266.60 Mn |
| Mar 31, 2025 | 242.90 Mn |
| Dec 31, 2024 | 232.50 Mn |
| Sep 30, 2024 | 237.30 Mn |
| Jun 30, 2024 | 278.60 Mn |
| Mar 31, 2024 | 268.10 Mn |
| Dec 31, 2023 | 208.50 Mn |
| Sep 30, 2023 | 229.90 Mn |
| Jun 30, 2023 | 296.00 Mn |
| Mar 31, 2023 | 266.40 Mn |
| Dec 31, 2022 | 228.40 Mn |
| Sep 30, 2022 | 251.70 Mn |
| Jun 30, 2022 | 318.40 Mn |
| Mar 31, 2022 | 264.20 Mn |
| Dec 31, 2021 | 279.70 Mn |
| Sep 30, 2021 | 394.90 Mn |
API Access
Donnelley Financial Solutions 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=current-assets&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();