Spyre Therapeutics (SYRE) Shares Outstanding (Diluted) (2014 - 2026)
Spyre Therapeutics (SYRE) reported Weighted Average Shares Outstanding (Diluted) of 88.76 million for Q3 2026, up 46.9% from 60.41 million a year earlier and up 4.3% from the prior quarter.
Spyre Therapeutics (SYRE) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, Spyre Therapeutics posted Weighted Average Shares Outstanding (Diluted) of 64.06 million, up 34.9% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 47.49 million in FY2024 (+546.9%), 7.34 million in FY2023 (-91.3%), 84.28 million in FY2022 (+28.2%) and 65.74 million in FY2021 (+23.2%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q1 2023.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last nine quarters, with growth averaging 101.6% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2024 (growth of 856.8%); the low point was Q2 2023 (a decline of 95.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 85.09 million (Q2 2026), 78.91 million (Q1 2026) and 64.06 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 | Spyre Therapeutics | 9.40 Bn | 5.68 Bn | - | 88.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 88.76 Mn |
| Jun 30, 2026 | 85.09 Mn |
| Mar 31, 2026 | 78.91 Mn |
| Dec 31, 2025 | 64.06 Mn |
| Sep 30, 2025 | 60.41 Mn |
| Jun 30, 2025 | 60.33 Mn |
| Mar 31, 2025 | 60.27 Mn |
| Dec 31, 2024 | 47.49 Mn |
| Sep 30, 2024 | 51.25 Mn |
| Jun 30, 2024 | 45.83 Mn |
| Mar 31, 2024 | 37.12 Mn |
| Dec 31, 2023 | 7.34 Mn |
| Sep 30, 2023 | 5.36 Mn |
| Jun 30, 2023 | 154,490.00 |
| Mar 31, 2023 | 3.77 Mn |
| Dec 31, 2022 | 3.37 Mn |
| Sep 30, 2022 | 3.77 Mn |
| Jun 30, 2022 | 3.29 Mn |
| Mar 31, 2022 | 2.64 Mn |
| Dec 31, 2021 | 2.63 Mn |
Spyre 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=SYRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SYRE", "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=SYRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();