Akebia Therapeutics (AKBA) Asset Writedowns and Impairment (2019 - 2026)
Akebia Therapeutics' Asset Writedowns and Impairment was $1.73 million in Q2 2026, compared with -$48,000 a year earlier and down 46.3% from the prior quarter.
Akebia Therapeutics (AKBA) Asset Writedowns and Impairment (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Akebia Therapeutics' Asset Writedowns and Impairment was $7.33 million through Jun 30, 2026, up 124.8% year-over-year; for FY2025, it was $2.51 million, down 40.5% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of -53.4% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $4.21 million in FY2024 (+166.3%), $1.58 million in FY2023 (-94.8%), $30.24 million in FY2022 (+101.0%) and $15.05 million in FY2021 (-86.8%).
- Quarterly Asset Writedowns and Impairment has moved between -$48,000 (Q2 2025) and $20.24 million (Q4 2022) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in three of the last five quarters, with growth averaging 115.1%.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q4 2024 (growth of 613.4%); the worst was Q4 2023 (a decline of 98.8%).
- Per Business Quant data, AKBA's Asset Writedowns and Impairment in the three quarters before Q2 2026 was $3.22 million (Q1 2026), $1.86 million (Q4 2025) and $530,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 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 |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Akebia Therapeutics | 236.42 Mn | -433.06 Mn | 38.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.73 Mn |
| Mar 31, 2026 | 3.22 Mn |
| Dec 31, 2025 | 1.86 Mn |
| Sep 30, 2025 | 530,000.00 |
| Jun 30, 2025 | -48,000.00 |
| Mar 31, 2025 | 163,000.00 |
| Dec 31, 2024 | 1.81 Mn |
| Sep 30, 2024 | 1.34 Mn |
| Jun 30, 2024 | 471,000.00 |
| Mar 31, 2024 | 590,000.00 |
| Dec 31, 2023 | 253,000.00 |
| Sep 30, 2023 | 700,000.00 |
| Jun 30, 2023 | 300,000.00 |
| Mar 31, 2023 | 335,000.00 |
| Dec 31, 2022 | 20.24 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 5.34 Mn |
| Dec 31, 2021 | 7.92 Mn |
| Sep 30, 2021 | 1.70 Mn |
Akebia Therapeutics Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=AKBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();