Sitime (SITM) Property, Plant & Equipment (Net) (2018 - 2026)
Sitime's Property, Plant & Equipment (Net) came in at $124.53 million for Q3 2026, up 25.5% from $99.23 million a year earlier and up 8.9% from the prior quarter.
Sitime (SITM) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Sitime's Property, Plant & Equipment (Net) was $105.11 million, up 27.4% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 55.1% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $82.48 million in FY2024 (+50.8%), $54.69 million in FY2023 (-7.0%), $58.77 million in FY2022 (+55.1%) and $37.9 million in FY2021 (+223.7%).
- The Q3 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2018.
- Year-over-year, Property, Plant & Equipment (Net) has increased for ten consecutive quarters, with growth averaging 40.4% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2021 (growth of 223.7%), and the weakest in Q1 2024 (a decline of 7.1%).
- Business Quant data shows SITM's Property, Plant & Equipment (Net) at $114.39 million (Q2 2026), $106.66 million (Q1 2026) and $105.11 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 57.66 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 142.12 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 14.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 3.14 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 63.31 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 3.93 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 9.27 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 105.31 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 5.85 Bn |
| 10 | Sitime | 13.43 Bn | 9.59 Bn | 154.12 Mn | 124.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 124.53 Mn |
| Jun 30, 2026 | 114.39 Mn |
| Mar 31, 2026 | 106.66 Mn |
| Dec 31, 2025 | 105.11 Mn |
| Sep 30, 2025 | 99.23 Mn |
| Jun 30, 2025 | 99.86 Mn |
| Mar 31, 2025 | 98.23 Mn |
| Dec 31, 2024 | 82.48 Mn |
| Sep 30, 2024 | 69.69 Mn |
| Jun 30, 2024 | 58.69 Mn |
| Mar 31, 2024 | 53.39 Mn |
| Dec 31, 2023 | 54.69 Mn |
| Sep 30, 2023 | 55.92 Mn |
| Jun 30, 2023 | 56.30 Mn |
| Mar 31, 2023 | 57.49 Mn |
| Dec 31, 2022 | 58.77 Mn |
| Sep 30, 2022 | 56.11 Mn |
| Jun 30, 2022 | 51.92 Mn |
| Mar 31, 2022 | 44.21 Mn |
| Dec 31, 2021 | 37.90 Mn |
Sitime Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SITM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();