Ardelyx (ARDX) Shares Outstanding (2013 - 2026)
Ardelyx (ARDX) recorded Weighted Average Shares Outstanding of 250.01 million in Q3 2026, up 3.3% from 241.91 million a year earlier and up 0.8% from the prior quarter.
Ardelyx (ARDX) Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, Ardelyx reported Weighted Average Shares Outstanding of 241.03 million, up 2.5% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for 13 straight years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 235.23 million in FY2024 (+7.3%), 219.33 million in FY2023 (+38.2%), 158.69 million in FY2022 (+52.3%) and 104.21 million in FY2021 (+16.3%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2013.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 46 consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 2.3% in Q2 2025 to 58.5% in Q3 2022.
- Per Business Quant, the preceding three quarters came in at 248.07 million (Q2 2026), 245.86 million (Q1 2026) and 241.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.94 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 1.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Ardelyx | 736.27 Mn | -333.66 Mn | 123.12 Mn | 250.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 250.01 Mn |
| Jun 30, 2026 | 248.07 Mn |
| Mar 31, 2026 | 245.86 Mn |
| Dec 31, 2025 | 241.03 Mn |
| Sep 30, 2025 | 241.91 Mn |
| Jun 30, 2025 | 239.93 Mn |
| Mar 31, 2025 | 238.62 Mn |
| Dec 31, 2024 | 235.23 Mn |
| Sep 30, 2024 | 235.91 Mn |
| Jun 30, 2024 | 234.57 Mn |
| Mar 31, 2024 | 233.07 Mn |
| Dec 31, 2023 | 219.33 Mn |
| Sep 30, 2023 | 222.78 Mn |
| Jun 30, 2023 | 214.95 Mn |
| Mar 31, 2023 | 207.02 Mn |
| Dec 31, 2022 | 158.69 Mn |
| Sep 30, 2022 | 165.11 Mn |
| Jun 30, 2022 | 145.54 Mn |
| Mar 31, 2022 | 130.94 Mn |
| Dec 31, 2021 | 104.21 Mn |
Ardelyx Shares Outstanding 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&ticker=ARDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ARDX", "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&ticker=ARDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();