Silo Pharma (SILO) Shares Outstanding (Diluted) (2017 - 2026)
Silo Pharma (SILO) recorded Shares Outstanding (Diluted) of 1.1 million in Q2 2026, up 162.4% from 418,649 a year earlier and up 20.2% from the prior quarter.
Silo Pharma (SILO) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, Silo Pharma reported Shares Outstanding (Diluted) of 558,818, up 127.8% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for four straight years, though with a five-year compound annual growth rate of -33.8% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 245,359 in FY2024 (+19.5%), 205,325 in FY2023 (+34.8%), 152,283 in FY2022 (+19.1%) and 127,896 in FY2021 (-97.1%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) since Q2 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for eight consecutive quarters, with growth averaging 104.1% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 205.7% in Q1 2026, against a decline of 97.9% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 913,947 (Q1 2026), 558,818 (Q4 2025) and 622,090 (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 | Silo Pharma | 1.70 Mn | 1.70 Mn | - | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Mn |
| Mar 31, 2026 | 913,947.00 |
| Dec 31, 2025 | 558,818.00 |
| Sep 30, 2025 | 622,090.00 |
| Jun 30, 2025 | 418,649.00 |
| Mar 31, 2025 | 298,964.00 |
| Dec 31, 2024 | 245,359.00 |
| Sep 30, 2024 | 286,790.00 |
| Jun 30, 2024 | 203,511.00 |
| Mar 31, 2024 | 191,129.00 |
| Dec 31, 2023 | 205,325.00 |
| Sep 30, 2023 | 207,253.00 |
| Jun 30, 2023 | 210,257.00 |
| Mar 31, 2023 | 210,586.00 |
| Dec 31, 2022 | 152,283.00 |
| Sep 30, 2022 | 133,380.00 |
| Jun 30, 2022 | 132,527.00 |
| Mar 31, 2022 | 131,516.00 |
| Dec 31, 2021 | 127,896.00 |
| Sep 30, 2021 | 132,925.00 |
Silo Pharma 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=SILO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SILO", "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=SILO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();