Gigamedia (GIGM) Shares Outstanding (Diluted) (2009 - 2026)
Gigamedia's Weighted Average Shares Outstanding (Diluted) came in at 11.05 million for the quarter ended Sep 30, 2026, unchanged from 11.05 million a year earlier and unchanged from the prior quarter.
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Analysis
Gigamedia (GIGM) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2009, Gigamedia's Weighted Average Shares Outstanding (Diluted) data covers 71 quarters.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 11.05 million in the year ended Dec 31, 2024 (unchanged), 11.05 million in the year ended Dec 31, 2023 (unchanged), 11.05 million in the year ended Dec 31, 2022 (unchanged) and 11.05 million in the year ended Dec 31, 2021 (unchanged).
- Business Quant data shows GIGM's Weighted Average Shares Outstanding (Diluted) at 11.05 million (quarter ended Jun 30, 2026), 11.05 million (quarter ended Mar 31, 2026) and 11.05 million (quarter ended Dec 31, 2025) in the three quarters before the quarter ended Sep 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 12.37 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 2.05 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 334.77 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 210.51 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 753.00 Mn |
| 10 | Gigamedia | 15.36 Mn | -108.95 Mn | 2.00 Mn | 11.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.05 Mn |
| Jun 30, 2026 | 11.05 Mn |
| Mar 31, 2026 | 11.05 Mn |
| Dec 31, 2025 | 11.05 Mn |
| Sep 30, 2025 | 11.05 Mn |
| Jun 30, 2025 | 11.05 Mn |
| Mar 31, 2025 | 11.05 Mn |
| Dec 31, 2024 | 11.05 Mn |
| Sep 30, 2024 | 11.05 Mn |
| Jun 30, 2024 | 11.05 Mn |
| Mar 31, 2024 | 11.05 Mn |
| Dec 31, 2023 | 11.05 Mn |
| Sep 30, 2023 | 11.05 Mn |
| Jun 30, 2023 | 11.05 Mn |
| Mar 31, 2023 | 11.05 Mn |
| Dec 31, 2022 | 11.05 Mn |
| Sep 30, 2022 | 11.05 Mn |
| Jun 30, 2022 | 11.05 Mn |
| Mar 31, 2022 | 11.05 Mn |
| Dec 31, 2021 | 11.05 Mn |
API Access
Gigamedia 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=GIGM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GIGM", "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=GIGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();