Ardelyx (ARDX) Shares Outstanding (Diluted) (2013 - 2026)
Ardelyx (ARDX) recorded Weighted Average Shares Outstanding (Diluted) 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 (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Ardelyx reported Weighted Average Shares Outstanding (Diluted) of 241.03 million, up 2.5% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for seven straight years, with a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) 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 (Diluted) in data going back to Q2 2013.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 28 consecutive quarters, with growth averaging 3.3% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 2.3% (Q2 2025) and 58.5% (Q3 2022) over the last five years.
- 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 (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Ardelyx | 755.60 Mn | -314.33 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 | 227.89 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 (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=ARDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=ARDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();