Serina Therapeutics (SER) Amortizatization of Intangibles (2018 - 2023)
Serina Therapeutics (SER) recorded Amortizatization of Intangibles of $33,000 in Q4 2023, unchanged from $33,000 a year earlier and unchanged from the prior quarter.
Serina Therapeutics (SER) Amortizatization of Intangibles (2018 - 2023) Analysis & Trends
For FY2023, Serina Therapeutics reported Amortizatization of Intangibles of $131,000, down 0.8% from FY2022.
- Annual Amortizatization of Intangibles has a five-year compound annual growth rate of -22.8% (FY2018 to FY2023).
- Across earlier years, Amortizatization of Intangibles came in at $132,000 in FY2022 (+0.8%), $131,000 in FY2021 (-0.8%), $132,000 in FY2020 (-76.3%) and $558,000 in FY2019 (+17.0%).
- Quarterly Amortizatization of Intangibles has ranged from -$287,000 in Q4 2020 to $140,000 in Q3 2020 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 year-over-year change of 0.0%.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 30.8% in Q2 2019, against a decline of 77.1% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $33,000 (Q3 2023), $32,000 (Q2 2023) and $33,000 (Q1 2023).
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 | Serina Therapeutics | 32.11 Mn | -8.63 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 33,000.00 |
| Sep 30, 2023 | 33,000.00 |
| Jun 30, 2023 | 32,000.00 |
| Mar 31, 2023 | 33,000.00 |
| Dec 31, 2022 | 33,000.00 |
| Sep 30, 2022 | 33,000.00 |
| Jun 30, 2022 | 33,000.00 |
| Mar 31, 2022 | 33,000.00 |
| Dec 31, 2021 | 33,000.00 |
| Sep 30, 2021 | 32,000.00 |
| Jun 30, 2021 | 33,000.00 |
| Mar 31, 2021 | 33,000.00 |
| Dec 31, 2020 | -287,000.00 |
| Sep 30, 2020 | 140,000.00 |
| Jun 30, 2020 | 33,000.00 |
| Mar 31, 2020 | 33,000.00 |
| Dec 31, 2019 | 139,000.00 |
| Sep 30, 2019 | 140,000.00 |
| Jun 30, 2019 | 140,000.00 |
| Mar 31, 2019 | 139,000.00 |
Serina Therapeutics 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=SER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "SER", "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=SER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();