Akebia Therapeutics (AKBA) Intangibles (2018 - 2024)
Akebia Therapeutics' Intangibles came in at $9.01 million for Q3 2024, down 80.0% from $45.05 million a year earlier and down 50.0% from the prior quarter.
Akebia Therapeutics (AKBA) Intangibles (2018 - 2024) Analysis & Trends
At the end of FY2023, Akebia Therapeutics' Intangibles was $36.04 million, down 50.0% from FY2022.
- Intangibles has declined in each of the last five years, with a five-year compound annual growth rate of -35.7% (FY2018 to FY2023).
- Going back by year, Intangibles was $72.08 million in FY2022 (-33.3%), $108.13 million in FY2021 (-25.0%), $144.17 million in FY2020 (-50.5%) and $291.21 million in FY2019 (-11.3%).
- The Q3 2024 figure represents the lowest quarterly Intangibles in data going back to Q4 2018.
- Year-over-year, Intangibles has declined for 20 consecutive quarters, with an average decline of 51.0% over the last eight quarters.
- The year-over-year decline in Intangibles has ranged between 11.3% (Q4 2019) and 80.0% (Q3 2024) over the last five years.
- Business Quant data shows AKBA's Intangibles at $18.02 million (Q2 2024), $27.03 million (Q1 2024) and $36.04 million (Q4 2023) in the three quarters before Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 412.80 Mn |
| 10 | Akebia Therapeutics | 250.00 Mn | -419.48 Mn | 38.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 9.01 Mn |
| Jun 30, 2024 | 18.02 Mn |
| Mar 31, 2024 | 27.03 Mn |
| Dec 31, 2023 | 36.04 Mn |
| Sep 30, 2023 | 45.05 Mn |
| Jun 30, 2023 | 54.06 Mn |
| Mar 31, 2023 | 63.07 Mn |
| Dec 31, 2022 | 72.08 Mn |
| Sep 30, 2022 | 81.10 Mn |
| Jun 30, 2022 | 90.11 Mn |
| Mar 31, 2022 | 99.12 Mn |
| Dec 31, 2021 | 108.13 Mn |
| Sep 30, 2021 | 117.14 Mn |
| Jun 30, 2021 | 126.15 Mn |
| Mar 31, 2021 | 135.16 Mn |
| Dec 31, 2020 | 144.17 Mn |
| Sep 30, 2020 | 151.38 Mn |
| Jun 30, 2020 | 157.48 Mn |
| Mar 31, 2020 | 282.11 Mn |
| Dec 31, 2019 | 291.21 Mn |
Akebia Therapeutics 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=AKBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "AKBA", "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=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();