Dianthus Therapeutics (DNTH) Shares Outstanding (Diluted) (2020 - 2025)
Dianthus Therapeutics (DNTH) posted Shares Outstanding (Diluted) of 37.79 million for Q4 2025, up 13.4% from 33.31 million a year earlier and unchanged from the prior quarter.
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Analysis
Dianthus Therapeutics (DNTH) Shares Outstanding (Diluted) (2020 - 2025) Analysis & Trends
Since Q4 2020, Dianthus Therapeutics has reported Shares Outstanding (Diluted) for 21 quarters.
- Annual Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 69.0% (FY2020 to FY2025).
- In prior years, Dianthus Therapeutics' Shares Outstanding (Diluted) was 33.31 million in FY2024 (+546.4%), 5.15 million in FY2023 (+38.9%), 3.71 million in FY2022 (+8.1%) and 3.43 million in FY2021 (+25.1%).
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 17 quarters, with growth averaging 346.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 1.2% (Q3 2022) to 802.9% (Q2 2024).
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 37.79 million (Q3 2025), 35.82 million (Q2 2025) and 35.79 million (Q1 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 | Dianthus Therapeutics | 3.77 Bn | 3.72 Bn | - | 37.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 37.79 Mn |
| Sep 30, 2025 | 37.79 Mn |
| Jun 30, 2025 | 35.82 Mn |
| Mar 31, 2025 | 35.79 Mn |
| Dec 31, 2024 | 33.31 Mn |
| Sep 30, 2024 | 34.24 Mn |
| Jun 30, 2024 | 34.23 Mn |
| Mar 31, 2024 | 25.67 Mn |
| Dec 31, 2023 | 5.15 Mn |
| Sep 30, 2023 | 3.91 Mn |
| Jun 30, 2023 | 3.79 Mn |
| Mar 31, 2023 | 3.79 Mn |
| Dec 31, 2022 | 3.71 Mn |
| Sep 30, 2022 | 3.70 Mn |
| Jun 30, 2022 | 3.68 Mn |
| Mar 31, 2022 | 3.67 Mn |
| Dec 31, 2021 | 3.43 Mn |
| Sep 30, 2021 | 3.66 Mn |
| Jun 30, 2021 | 3.36 Mn |
| Mar 31, 2021 | 3.04 Mn |
API Access
Dianthus 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=DNTH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "DNTH", "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=DNTH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();