Q32 Bio (QTTB) Shares Outstanding (Entity) (2017 - 2026)
Q32 Bio (QTTB) recorded Shares Outstanding (Entity) of 23.74 million in Q2 2026, up 94.6% from 12.2 million a year earlier and up 62.3% from the prior quarter.
Q32 Bio (QTTB) Shares Outstanding (Entity) (2017 - 2026) Analysis & Trends
For FY2025, Q32 Bio reported Shares Outstanding (Entity) of 12.86 million, up 37.9% from FY2024.
- Annual Shares Outstanding (Entity) has increased for eight straight years, with a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 9.32 million in FY2024 (+189.2%), 3.22 million in FY2023 (+0.9%), 3.19 million in FY2022 (+0.6%) and 3.18 million in FY2021 (+13.7%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Entity) in data going back to Q1 2017.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for five consecutive quarters, with growth averaging 88.9% over the last seven quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 277.3% in Q3 2024, against a decline of 69.0% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 14.63 million (Q1 2026), 12.86 million (Q4 2025) and 12.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 941.36 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | - |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 540.60 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Q32 Bio | 180.03 Mn | -94.26 Mn | - | 23.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.74 Mn |
| Mar 31, 2026 | 14.63 Mn |
| Dec 31, 2025 | 12.86 Mn |
| Sep 30, 2025 | 12.30 Mn |
| Jun 30, 2025 | 12.20 Mn |
| Mar 31, 2025 | 12.20 Mn |
| Dec 31, 2024 | 9.32 Mn |
| Sep 30, 2024 | 12.14 Mn |
| Jun 30, 2024 | 12.00 Mn |
| Mar 31, 2024 | 995,280.00 |
| Dec 31, 2023 | 3.22 Mn |
| Sep 30, 2023 | 3.22 Mn |
| Jun 30, 2023 | 3.21 Mn |
| Mar 31, 2023 | 3.21 Mn |
| Dec 31, 2022 | 3.19 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 3.19 Mn |
| Mar 31, 2022 | 3.19 Mn |
| Dec 31, 2021 | 3.18 Mn |
| Sep 30, 2021 | 3.18 Mn |
Q32 Bio Shares Outstanding (Entity) 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-entity&ticker=QTTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "QTTB", "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-entity&ticker=QTTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();