Donnelley Financial Solutions (DFIN) Intangibles (2015 - 2023)
Donnelley Financial Solutions (DFIN) posted Intangibles of $5.6 million for Q3 2023, down 30.0% from $8 million a year earlier and down 15.2% from the prior quarter.
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Analysis
Donnelley Financial Solutions (DFIN) Intangibles (2015 - 2023) Analysis & Trends
At the end of FY2022, Donnelley Financial Solutions' Intangibles came in at $7.8 million, down 10.3% from FY2021.
- Annual Intangibles has declined for seven consecutive years, with a five-year compound annual growth rate of -27.9% (FY2017 to FY2022).
- In prior years, Donnelley Financial Solutions' Intangibles was $8.7 million in FY2021 (-11.2%), $9.8 million in FY2020 (-55.3%), $21.9 million in FY2019 (-41.1%) and $37.2 million in FY2018 (-6.8%).
- The Q3 2023 figure stands as the lowest quarterly Intangibles in data going back to Q4 2015.
- On a year-over-year basis, Intangibles has declined in each of the last 25 quarters, with an average decline of 14.6% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 6.8% (Q4 2018) and 55.3% (Q4 2020) over the last five years.
- According to Business Quant data, Intangibles for the three prior quarters was $6.6 million (Q2 2023), $7.6 million (Q1 2023) and $7.8 million (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 3.07 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 6.14 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 3.78 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 1.65 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 4.64 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 4.18 Bn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 49.67 Bn |
| 10 | Donnelley Financial Solutions | 1.16 Bn | 1.07 Bn | 148.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 5.60 Mn |
| Jun 30, 2023 | 6.60 Mn |
| Mar 31, 2023 | 7.60 Mn |
| Dec 31, 2022 | 7.80 Mn |
| Sep 30, 2022 | 8.00 Mn |
| Jun 30, 2022 | 8.20 Mn |
| Mar 31, 2022 | 8.50 Mn |
| Dec 31, 2021 | 8.70 Mn |
| Sep 30, 2021 | 9.10 Mn |
| Jun 30, 2021 | 9.30 Mn |
| Mar 31, 2021 | 9.60 Mn |
| Dec 31, 2020 | 9.80 Mn |
| Sep 30, 2020 | 12.00 Mn |
| Jun 30, 2020 | 15.40 Mn |
| Mar 31, 2020 | 18.40 Mn |
| Dec 31, 2019 | 21.90 Mn |
| Sep 30, 2019 | 26.30 Mn |
| Jun 30, 2019 | 30.00 Mn |
| Mar 31, 2019 | 33.60 Mn |
| Dec 31, 2018 | 37.20 Mn |
API Access
Donnelley Financial Solutions Intangibles 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=intangibles&ticker=DFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();