Akebia Therapeutics (AKBA) Cost of Revenue (2019 - 2026)
Akebia Therapeutics (AKBA) recorded Cost of Revenue of $10.42 million in Q2 2026, up 5.1% from $9.92 million a year earlier but down 15.2% from the prior quarter.
Akebia Therapeutics (AKBA) Cost of Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, Akebia Therapeutics' Cost of Revenue came in at $44.63 million as of Jun 30, 2026, down 14.3% year-over-year; for FY2025, it was $39.46 million, down 37.5% from FY2024.
- Annual Cost of Revenue has declined for five straight years, with a five-year compound annual growth rate of -33.2% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $63.18 million in FY2024 (-14.8%), $74.15 million in FY2023 (-13.3%), $85.57 million in FY2022 (-43.2%) and $150.67 million in FY2021 (-49.2%).
- Quarterly Cost of Revenue has ranged from -$3.43 million in Q4 2022 to $47.63 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in three of the last eight quarters, with an average decline of 11.8%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 140.1% in Q3 2022, against a decline of 64.6% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.29 million (Q1 2026), $12.54 million (Q4 2025) and $9.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Akebia Therapeutics | 236.42 Mn | -433.06 Mn | 38.70 Mn | 10.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.42 Mn |
| Mar 31, 2026 | 12.29 Mn |
| Dec 31, 2025 | 12.54 Mn |
| Sep 30, 2025 | 9.38 Mn |
| Jun 30, 2025 | 9.92 Mn |
| Mar 31, 2025 | 7.63 Mn |
| Dec 31, 2024 | 20.37 Mn |
| Sep 30, 2024 | 14.16 Mn |
| Jun 30, 2024 | 17.05 Mn |
| Mar 31, 2024 | 11.61 Mn |
| Dec 31, 2023 | 18.67 Mn |
| Sep 30, 2023 | 18.01 Mn |
| Jun 30, 2023 | 17.28 Mn |
| Mar 31, 2023 | 20.19 Mn |
| Dec 31, 2022 | -3.43 Mn |
| Sep 30, 2022 | 38.28 Mn |
| Jun 30, 2022 | 18.60 Mn |
| Mar 31, 2022 | 23.11 Mn |
| Dec 31, 2021 | 47.63 Mn |
| Sep 30, 2021 | 15.94 Mn |
Akebia Therapeutics Cost of Revenue 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=cost-of-revenue&ticker=AKBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();