Akebia Therapeutics (AKBA) Shares Outstanding (Diluted) (2017 - 2026)
Akebia Therapeutics (AKBA) reported Shares Outstanding (Diluted) of 269.6 million for Q2 2026, down 0.6% from 271.1 million a year earlier but up 1.0% from the prior quarter.
Akebia Therapeutics (AKBA) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Akebia Therapeutics posted Shares Outstanding (Diluted) of 257.16 million, up 21.9% from FY2024.
- Shares Outstanding (Diluted) has increased for seven consecutive years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 210.95 million in FY2024 (+12.5%), 187.47 million in FY2023 (+2.6%), 182.78 million in FY2022 (+10.1%) and 165.95 million in FY2021 (+19.9%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 165.95 million in Q4 2021 and a high of 274.37 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) gained in seven of the last eight quarters, with growth averaging 16.7%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q3 2025 (growth of 30.4%); the low point was Q2 2023 (a decline of 1.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 267.05 million (Q1 2026), 257.16 million (Q4 2025) and 274.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Akebia Therapeutics | 250.00 Mn | -419.48 Mn | 38.70 Mn | 269.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 269.60 Mn |
| Mar 31, 2026 | 267.05 Mn |
| Dec 31, 2025 | 257.16 Mn |
| Sep 30, 2025 | 274.37 Mn |
| Jun 30, 2025 | 271.10 Mn |
| Mar 31, 2025 | 241.60 Mn |
| Dec 31, 2024 | 210.95 Mn |
| Sep 30, 2024 | 210.35 Mn |
| Jun 30, 2024 | 209.71 Mn |
| Mar 31, 2024 | 204.96 Mn |
| Dec 31, 2023 | 187.47 Mn |
| Sep 30, 2023 | 188.31 Mn |
| Jun 30, 2023 | 186.82 Mn |
| Mar 31, 2023 | 184.77 Mn |
| Dec 31, 2022 | 182.78 Mn |
| Sep 30, 2022 | 183.88 Mn |
| Jun 30, 2022 | 190.38 Mn |
| Mar 31, 2022 | 179.60 Mn |
| Dec 31, 2021 | 165.95 Mn |
| Sep 30, 2021 | 173.78 Mn |
Akebia Therapeutics Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=AKBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();