Armata Pharmaceuticals (ARMP) Shares Outstanding (Diluted) (2013 - 2026)
Armata Pharmaceuticals (ARMP) reported Shares Outstanding (Diluted) of 62.04 million for Q2 2026, up 71.4% from 36.19 million a year earlier and up 69.8% from the prior quarter.
Armata Pharmaceuticals (ARMP) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Armata Pharmaceuticals posted Shares Outstanding (Diluted) of 36.24 million, down 38.6% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 59.06 million in FY2024 (+63.7%), 36.08 million in FY2023 (+5.2%), 34.29 million in FY2022 (+42.3%) and 24.1 million in FY2021 (+46.8%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2013.
- Year over year, Shares Outstanding (Diluted) gained in five of the last eight quarters, with growth averaging 10.6%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2026 (growth of 71.4%); the low point was Q4 2025 (a decline of 38.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 36.53 million (Q1 2026), 36.24 million (Q4 2025) and 36.23 million (Q3 2025).
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 | Armata Pharmaceuticals | 136.32 Mn | 84.04 Mn | - | 62.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.04 Mn |
| Mar 31, 2026 | 36.53 Mn |
| Dec 31, 2025 | 36.24 Mn |
| Sep 30, 2025 | 36.23 Mn |
| Jun 30, 2025 | 36.19 Mn |
| Mar 31, 2025 | 59.48 Mn |
| Dec 31, 2024 | 59.06 Mn |
| Sep 30, 2024 | 36.18 Mn |
| Jun 30, 2024 | 58.25 Mn |
| Mar 31, 2024 | 36.12 Mn |
| Dec 31, 2023 | 36.08 Mn |
| Sep 30, 2023 | 36.09 Mn |
| Jun 30, 2023 | 56.54 Mn |
| Mar 31, 2023 | 36.05 Mn |
| Dec 31, 2022 | 34.29 Mn |
| Sep 30, 2022 | 36.04 Mn |
| Jun 30, 2022 | 36.00 Mn |
| Mar 31, 2022 | 29.00 Mn |
| Dec 31, 2021 | 24.10 Mn |
| Sep 30, 2021 | 24.82 Mn |
Armata Pharmaceuticals 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=ARMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ARMP", "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=ARMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();