Processa Pharmaceuticals (PCSA) Amortizatization of Intangibles (2013 - 2022)
Processa Pharmaceuticals (PCSA) recorded Amortizatization of Intangibles of $197,123 in Q4 2022, unchanged from $197,123 a year earlier and unchanged from the prior quarter.
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Analysis
Processa Pharmaceuticals (PCSA) Amortizatization of Intangibles (2013 - 2022) Analysis & Trends
For FY2022, Processa Pharmaceuticals reported Amortizatization of Intangibles of $788,495, down 0.3% from FY2021.
- Annual Amortizatization of Intangibles has a four-year compound annual growth rate of 6.1% (FY2018 to FY2022).
- Across earlier years, Amortizatization of Intangibles came in at $790,488 in FY2021 (-0.6%), $795,328 in FY2020 (unchanged), $795,328 in FY2019 (+27.9%) and $621,647 in FY2018.
- Quarterly Amortizatization of Intangibles has ranged from $25,435 in Q1 2018 to $200,256 in Q3 2018 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles rose in 1 of the last eight quarters, with an average decline of 0.4%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 681.7% in Q1 2019, against a decline of 1.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $197,124 (Q3 2022), $197,124 (Q2 2022) and $197,124 (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 984.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 600.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Processa Pharmaceuticals | 4.33 Mn | 4.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 197,123.00 |
| Sep 30, 2022 | 197,124.00 |
| Jun 30, 2022 | 197,124.00 |
| Mar 31, 2022 | 197,124.00 |
| Dec 31, 2021 | 197,123.00 |
| Sep 30, 2021 | 195,700.00 |
| Jun 30, 2021 | 198,832.00 |
| Mar 31, 2021 | 198,832.00 |
| Dec 31, 2020 | 198,832.00 |
| Sep 30, 2020 | 198,832.00 |
| Jun 30, 2020 | 198,832.00 |
| Mar 31, 2020 | 198,832.00 |
| Dec 31, 2019 | 198,832.00 |
| Sep 30, 2019 | 198,832.00 |
| Jun 30, 2019 | 198,832.00 |
| Mar 31, 2019 | 198,832.00 |
| Dec 31, 2018 | 198,833.00 |
| Sep 30, 2018 | 200,256.00 |
| Jun 30, 2018 | 197,124.00 |
| Mar 31, 2018 | 25,435.00 |
API Access
Processa Pharmaceuticals Amortizatization of 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=amortizatization-of-intangibles&ticker=PCSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "PCSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=PCSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();