SurgePays (SURG) Shares Outstanding (Diluted) (2010 - 2026)
SurgePays (SURG) posted Shares Outstanding (Diluted) of 25.92 million for Q2 2026, up 30.3% from 19.89 million a year earlier and up 9.4% from the prior quarter.
SurgePays (SURG) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, SurgePays' Shares Outstanding (Diluted) came in at 20.09 million, up 5.1% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for three consecutive years, though with a five-year compound annual growth rate of -1.4% (FY2020 to FY2025).
- In prior years, SurgePays' Shares Outstanding (Diluted) was 19.12 million in FY2024 (+28.1%), 14.92 million in FY2023 (+20.4%), 12.4 million in FY2022 (-42.5%) and 21.55 million in FY2021 (unchanged).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2014.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 14 quarters, with growth averaging 16.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2024, with growth of 35.7%; the weakest was Q1 2022, with a decline of 44.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 23.7 million (Q1 2026), 20.09 million (Q4 2025) and 19.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 191.00 Bn | 155.40 Bn | 27.03 Bn | 4.17 Bn |
| 2 | T-Mobile US | 173.83 Bn | 158.58 Bn | 14.76 Bn | 1.08 Bn |
| 3 | At&T | 166.58 Bn | 114.53 Bn | 25.82 Bn | 6.95 Bn |
| 4 | Grupo Televisa, S.A.B | 140.00 Bn | 128.63 Bn | 318.12 Mn | 68.12 Bn |
| 5 | Comcast | 76.75 Bn | 41.00 Bn | - | 3.57 Bn |
| 6 | Chunghwa Telecom | 35.34 Bn | 31.19 Bn | 728.80 Mn | 777.60 Mn |
| 7 | EchoStar | 25.60 Bn | 16.74 Bn | 1.65 Bn | 351.62 Mn |
| 8 | AST SpaceMobile | 22.19 Bn | 22.70 Bn | 7.95 Mn | 299.06 Mn |
| 9 | Bce | 18.58 Bn | 16.90 Bn | - | 929.10 Mn |
| 10 | SurgePays | 3.98 Mn | -5.40 Mn | -425,171.00 | 25.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.92 Mn |
| Mar 31, 2026 | 23.70 Mn |
| Dec 31, 2025 | 20.09 Mn |
| Sep 30, 2025 | 19.84 Mn |
| Jun 30, 2025 | 19.89 Mn |
| Mar 31, 2025 | 20.07 Mn |
| Dec 31, 2024 | 19.12 Mn |
| Sep 30, 2024 | 19.69 Mn |
| Jun 30, 2024 | 19.43 Mn |
| Mar 31, 2024 | 18.68 Mn |
| Dec 31, 2023 | 14.92 Mn |
| Sep 30, 2023 | 14.51 Mn |
| Jun 30, 2023 | 15.08 Mn |
| Mar 31, 2023 | 14.54 Mn |
| Dec 31, 2022 | 12.40 Mn |
| Sep 30, 2022 | 12.44 Mn |
| Jun 30, 2022 | 12.27 Mn |
| Mar 31, 2022 | 12.06 Mn |
| Dec 31, 2021 | 21.55 Mn |
| Sep 30, 2021 | 21.55 Mn |
SurgePays 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=SURG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SURG", "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=SURG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();