Sitime (SITM) Shares Outstanding (2018 - 2026)
Sitime (SITM) reported Weighted Average Shares Outstanding of 30.13 million for Q3 2026, up 15.7% from 26.05 million a year earlier and up 13.9% from the prior quarter.
Sitime (SITM) Shares Outstanding (2018 - 2026) Analysis & Trends
For FY2025, Sitime posted Weighted Average Shares Outstanding of 24.97 million, up 8.0% from FY2024.
- Weighted Average Shares Outstanding has increased for seven consecutive years, with a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 23.12 million in FY2024 (+4.2%), 22.19 million in FY2023 (+4.4%), 21.25 million in FY2022 (+11.8%) and 19.01 million in FY2021 (+18.3%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2018.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 28 quarters, with growth averaging 8.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 3.9% (Q1 2025) to 18.3% (Q4 2021).
- Per Business Quant data, the three quarters before Q3 2026 came in at 26.45 million (Q2 2026), 26.34 million (Q1 2026) and 24.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 189.55 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 25.93 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 24.19 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.77 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.13 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.64 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 388.50 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.24 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 794.00 Mn |
| 10 | Sitime | 13.43 Bn | 9.59 Bn | 154.12 Mn | 30.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.13 Mn |
| Jun 30, 2026 | 26.45 Mn |
| Mar 31, 2026 | 26.34 Mn |
| Dec 31, 2025 | 24.97 Mn |
| Sep 30, 2025 | 26.05 Mn |
| Jun 30, 2025 | 23.92 Mn |
| Mar 31, 2025 | 23.65 Mn |
| Dec 31, 2024 | 23.12 Mn |
| Sep 30, 2024 | 23.24 Mn |
| Jun 30, 2024 | 23.00 Mn |
| Mar 31, 2024 | 22.77 Mn |
| Dec 31, 2023 | 22.19 Mn |
| Sep 30, 2023 | 22.33 Mn |
| Jun 30, 2023 | 22.07 Mn |
| Mar 31, 2023 | 21.79 Mn |
| Dec 31, 2022 | 21.25 Mn |
| Sep 30, 2022 | 21.35 Mn |
| Jun 30, 2022 | 21.15 Mn |
| Mar 31, 2022 | 20.92 Mn |
| Dec 31, 2021 | 19.01 Mn |
Sitime 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=SITM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SITM", "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=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();