Sitime (SITM) Interest Expenses (2019 - 2026)
Sitime's Interest Expenses came in at $2.25 million for Q2 2026.
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Analysis
Sitime (SITM) Interest Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sitime reported Interest Expenses of $2.36 million, up 457.2% year-over-year; for FY2020, it was $726,000, down 57.6% from FY2019.
- Going back by year, Interest Expenses was $1.71 million in FY2019 (+13.4%) and $1.51 million in FY2018.
- The Q2 2026 figure represents the highest quarterly Interest Expenses in data going back to Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | -97.61 Mn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 778.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 37.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | - |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 68.00 Mn |
| 10 | Sitime | 18.81 Bn | 14.48 Bn | 99.14 Mn | 2.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.25 Mn |
| Sep 30, 2020 | 110,000.00 |
| Jun 30, 2020 | 313,000.00 |
| Mar 31, 2020 | 303,000.00 |
| Dec 31, 2019 | 394,000.00 |
| Sep 30, 2019 | 426,000.00 |
| Jun 30, 2019 | 456,000.00 |
| Mar 31, 2019 | 438,000.00 |
API Access
Sitime Interest Expenses 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=interest-expenses&ticker=SITM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();