Sitime (SITM) EV to FCF (2019 - 2026)
Sitime's (SITM) EV to FCF stood at 467.56 in Q3 2026, up 30.8% from 357.37 a year earlier and up 121.4% from the prior quarter.
Sitime (SITM) EV to FCF (2019 - 2026) Analysis & Trends
On a TTM basis, Sitime's EV to FCF came in at 382.65 as of Sep 30, 2026, up 38.8% year-over-year; for FY2025, it was 241.42.
- Across earlier years, EV to FCF came in at 206.21 in FY2022 (+5.1%) and 196.19 in FY2021 (+11.7%).
- The Q3 2026 figure is the highest quarterly EV to FCF since Q3 2023.
- Per Business Quant, the preceding three quarters came in at 211.22 (Q2 2026), 153.44 (Q1 2026) and 241.42 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Sitime | 13.43 Bn | 9.59 Bn | 154.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 467.56 |
| Jun 30, 2026 | 211.22 |
| Mar 31, 2026 | 153.44 |
| Dec 31, 2025 | 241.42 |
| Sep 30, 2025 | 357.37 |
| Sep 30, 2023 | 1,453.78 |
| Mar 31, 2023 | 486.09 |
| Dec 31, 2022 | 206.21 |
| Sep 30, 2022 | 47.23 |
| Jun 30, 2022 | 61.11 |
| Mar 31, 2022 | 120.39 |
| Dec 31, 2021 | 196.19 |
| Sep 30, 2021 | 193.64 |
| Jun 30, 2021 | 390.63 |
| Mar 31, 2021 | 135.44 |
| Dec 31, 2020 | 175.72 |
| Sep 30, 2020 | 172.91 |
| Jun 30, 2020 | 135.03 |
| Mar 31, 2020 | 129.35 |
| Dec 31, 2019 | 34.58 |
Sitime EV to FCF 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=ev-to-fcf&ticker=SITM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();