Transcode Therapeutics (RNAZ) Shares Outstanding (Diluted) (2020 - 2026)
Transcode Therapeutics (RNAZ) reported Shares Outstanding (Diluted) of 957,191 for Q2 2026, up 14.8% from 833,654 a year earlier and up 4.4% from the prior quarter.
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Analysis
Transcode Therapeutics (RNAZ) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Transcode Therapeutics posted Shares Outstanding (Diluted) of 689,713, up 93.7% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 150.3% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 356,115 in FY2024, 5,424 in FY2023 (-72.4%), 19,661 in FY2022 (+54.0%) and 12,765 in FY2021 (+81.7%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q1 2025.
- Year over year, Shares Outstanding (Diluted) gained in five of the last six quarters, with growth averaging 118.1%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2024 (growth of 614.2%); the low point was Q1 2026 (a decline of 81.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 916,968 (Q1 2026), 689,713 (Q4 2025) and 833,683 (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 | Transcode Therapeutics | 1.70 Mn | 1.70 Mn | - | 957,191.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 957,191.00 |
| Mar 31, 2026 | 916,968.00 |
| Dec 31, 2025 | 689,713.00 |
| Sep 30, 2025 | 833,683.00 |
| Jun 30, 2025 | 833,654.00 |
| Mar 31, 2025 | 4.82 Mn |
| Dec 31, 2024 | 356,115.00 |
| Sep 30, 2024 | 271,473.00 |
| Jun 30, 2024 | 213,649.00 |
| Mar 31, 2024 | 155,815.00 |
| Dec 31, 2023 | 5,424.00 |
| Sep 30, 2023 | 95,663.00 |
| Jun 30, 2023 | 39,982.00 |
| Mar 31, 2023 | 21,817.00 |
| Dec 31, 2022 | 19,661.00 |
| Sep 30, 2022 | 19,661.00 |
| Jun 30, 2022 | 19,661.00 |
| Mar 31, 2022 | 19,661.00 |
| Dec 31, 2021 | 12,765.00 |
| Sep 30, 2021 | 17,463.00 |
API Access
Transcode 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=RNAZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RNAZ", "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=RNAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();