Sitime (SITM) Property, Plant & Equipment (Net) (2018 - 2026)
Sitime's Property, Plant & Equipment (Net) came in at $114.39 million for Q2 2026, up 14.5% from $99.86 million a year earlier and up 7.2% 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 Q2 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 nine consecutive quarters, with growth averaging 40.3% 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 $106.66 million (Q1 2026), $105.11 million (Q4 2025) and $99.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Sitime | 18.81 Bn | 14.48 Bn | 99.14 Mn | 114.39 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 31.35 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();