Sitime (SITM) Revenue (2018 - 2026)
Sitime's Revenue came in at $298.67 million for Q3 2026, up 257.4% from $83.57 million a year earlier and up 89.7% from the prior quarter.
Sitime (SITM) Revenue (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Sitime reported Revenue of $682.96 million, up 142.6% year-over-year; for FY2025, it came in at $326.66 million, up 61.2% from FY2024.
- Revenue carries a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- Going back by year, Revenue was $202.7 million in FY2024 (+40.8%), $143.99 million in FY2023 (-49.2%), $283.61 million in FY2022 (+29.6%) and $218.81 million in FY2021 (+88.4%).
- The Q3 2026 figure represents the highest quarterly Revenue in data going back to Q4 2018.
- Year-over-year, Revenue has increased for ten consecutive quarters, with growth averaging 98.1% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q3 2026 (growth of 257.4%), and the weakest in Q2 2023 (a decline of 65.1%).
- Business Quant data shows SITM's Revenue at $157.43 million (Q2 2026), $113.57 million (Q1 2026) and $113.29 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.87 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 46.73 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 96.22 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 29.59 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 54.23 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 13.38 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 11.31 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 16.51 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 10.41 Bn |
| 10 | Sitime | 13.43 Bn | 9.59 Bn | 154.12 Mn | 298.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 298.67 Mn |
| Jun 30, 2026 | 157.43 Mn |
| Mar 31, 2026 | 113.57 Mn |
| Dec 31, 2025 | 113.29 Mn |
| Sep 30, 2025 | 83.57 Mn |
| Jun 30, 2025 | 69.49 Mn |
| Mar 31, 2025 | 60.31 Mn |
| Dec 31, 2024 | 68.11 Mn |
| Sep 30, 2024 | 57.70 Mn |
| Jun 30, 2024 | 43.87 Mn |
| Mar 31, 2024 | 33.02 Mn |
| Dec 31, 2023 | 42.40 Mn |
| Sep 30, 2023 | 35.52 Mn |
| Jun 30, 2023 | 27.73 Mn |
| Mar 31, 2023 | 38.34 Mn |
| Dec 31, 2022 | 60.84 Mn |
| Sep 30, 2022 | 73.10 Mn |
| Jun 30, 2022 | 79.42 Mn |
| Mar 31, 2022 | 70.25 Mn |
| Dec 31, 2021 | 75.74 Mn |
Sitime Revenue 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=revenue&ticker=SITM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();