Relay Therapeutics (RLAY) Shares Outstanding (Diluted) (2020 - 2026)
Relay Therapeutics' Shares Outstanding (Diluted) was 202.85 million in Q2 2026, up 18.4% from 171.26 million a year earlier and up 12.8% from the prior quarter.
Powered by 
Analysis
Relay Therapeutics (RLAY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Relay Therapeutics came in at 171.59 million, up 20.1% from FY2024.
- Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 32.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 142.87 million in FY2024 (+16.6%), 122.58 million in FY2023 (+9.2%), 112.23 million in FY2022 (+18.0%) and 95.14 million in FY2021 (+123.2%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2020.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for 19 straight quarters, with growth averaging 19.7% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 6.3% (Q1 2026) and 154.9% (Q2 2022) over the last five years.
- Per Business Quant data, RLAY's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 179.85 million (Q1 2026), 171.59 million (Q4 2025) and 172.39 million (Q3 2025).
Peer Set
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 | Relay Therapeutics | 3.94 Bn | 3.94 Bn | - | 202.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.85 Mn |
| Mar 31, 2026 | 179.85 Mn |
| Dec 31, 2025 | 171.59 Mn |
| Sep 30, 2025 | 172.39 Mn |
| Jun 30, 2025 | 171.26 Mn |
| Mar 31, 2025 | 169.23 Mn |
| Dec 31, 2024 | 142.87 Mn |
| Sep 30, 2024 | 140.23 Mn |
| Jun 30, 2024 | 132.82 Mn |
| Mar 31, 2024 | 130.84 Mn |
| Dec 31, 2023 | 122.58 Mn |
| Sep 30, 2023 | 122.23 Mn |
| Jun 30, 2023 | 121.68 Mn |
| Mar 31, 2023 | 121.32 Mn |
| Dec 31, 2022 | 112.23 Mn |
| Sep 30, 2022 | 110.91 Mn |
| Jun 30, 2022 | 108.64 Mn |
| Mar 31, 2022 | 108.29 Mn |
| Dec 31, 2021 | 95.14 Mn |
| Sep 30, 2021 | 92.69 Mn |
API Access
Relay 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=RLAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RLAY", "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=RLAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();