Tower Semiconductor (TSEM) Shares Outstanding (2009 - 2026)
Tower Semiconductor (TSEM) posted Weighted Average Shares Outstanding of 111.98 million for Q3 2026, up 0.7% from 111.15 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Tower Semiconductor (TSEM) Shares Outstanding (2009 - 2026) Analysis & Trends
Since Q1 2009, Tower Semiconductor has reported Weighted Average Shares Outstanding for 71 quarters.
- Annual Weighted Average Shares Outstanding has increased for 16 consecutive years, with a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- In prior years, Tower Semiconductor's Weighted Average Shares Outstanding was 111.15 million in FY2024 (+0.8%), 110.29 million in FY2023 (+0.9%), 109.35 million in FY2022 (+1.0%) and 108.28 million in FY2021 (+1.0%).
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 67 quarters, with growth averaging 0.8% over the last eight quarters.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 111.98 million (Q2 2026), 111.98 million (Q1 2026) and 111.98 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 24.19 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 5.19 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 4.77 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 1.13 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 1.64 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 388.50 Mn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 5.24 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 794.00 Mn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 914.00 Mn |
| 10 | Tower Semiconductor | 15.37 Bn | 9.77 Bn | 178.76 Mn | 111.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 111.98 Mn |
| Jun 30, 2026 | 111.98 Mn |
| Mar 31, 2026 | 111.98 Mn |
| Dec 31, 2025 | 111.98 Mn |
| Sep 30, 2025 | 111.15 Mn |
| Jun 30, 2025 | 111.15 Mn |
| Mar 31, 2025 | 111.15 Mn |
| Dec 31, 2024 | 111.15 Mn |
| Sep 30, 2024 | 110.29 Mn |
| Jun 30, 2024 | 110.29 Mn |
| Mar 31, 2024 | 110.29 Mn |
| Dec 31, 2023 | 110.29 Mn |
| Sep 30, 2023 | 109.35 Mn |
| Jun 30, 2023 | 109.35 Mn |
| Mar 31, 2023 | 109.35 Mn |
| Dec 31, 2022 | 109.35 Mn |
| Sep 30, 2022 | 108.28 Mn |
| Jun 30, 2022 | 108.28 Mn |
| Mar 31, 2022 | 108.28 Mn |
| Dec 31, 2021 | 108.28 Mn |
API Access
Tower Semiconductor Shares Outstanding 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&ticker=TSEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "TSEM", "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&ticker=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();