Sitime (SITM) Total Non-Current Liabilities (2018 - 2026)
Sitime (SITM) reported Total Non-Current Liabilities of $1.43 billion for Q2 2026, compared with $107.54 million a year earlier.
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Analysis
Sitime (SITM) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Sitime posted Total Non-Current Liabilities of $84.01 million, down 22.5% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 17.7% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $108.45 million in FY2024 (-10.7%), $121.39 million in FY2023 (+189.4%), $41.94 million in FY2022 (-4.2%) and $43.78 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2018.
- Year over year, Total Non-Current Liabilities gained in three of the last seven quarters, with growth averaging 18.9%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 265.4%); the low point was Q2 2023 (a decline of 29.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $76.08 million (Q1 2026), $84.01 million (Q4 2025) and $110.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 16.48 Bn |
| 10 | Sitime | 18.81 Bn | 14.48 Bn | 99.14 Mn | 1.43 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | 76.08 Mn |
| Dec 31, 2025 | 84.01 Mn |
| Sep 30, 2025 | 110.68 Mn |
| Jun 30, 2025 | 107.54 Mn |
| Mar 31, 2025 | 106.66 Mn |
| Dec 31, 2024 | 108.45 Mn |
| Sep 30, 2024 | 94.92 Mn |
| Jun 30, 2024 | 80.36 Mn |
| Mar 31, 2024 | 119.40 Mn |
| Dec 31, 2023 | 121.39 Mn |
| Sep 30, 2023 | 37.35 Mn |
| Jun 30, 2023 | 37.24 Mn |
| Mar 31, 2023 | 32.68 Mn |
| Dec 31, 2022 | 41.94 Mn |
| Sep 30, 2022 | 43.54 Mn |
| Jun 30, 2022 | 52.61 Mn |
| Mar 31, 2022 | 43.01 Mn |
| Dec 31, 2021 | 43.78 Mn |
| Sep 30, 2021 | 39.79 Mn |
API Access
Sitime Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SITM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();