Sitime (SITM) Total Liabilities (2018 - 2026)
Sitime (SITM) reported Total Liabilities of $1.49 billion for Q3 2026, up 756.7% from $173.6 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Sitime (SITM) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Sitime posted Total Liabilities of $138.52 million, down 25.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 39.6% (FY2020 to FY2025).
- By year, Total Liabilities came in at $185.24 million in FY2024 (-24.0%), $243.63 million in FY2023 (+478.2%), $42.14 million in FY2022 (-7.8%) and $45.71 million in FY2021 (+74.9%).
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2018.
- Year over year, Total Liabilities gained in two of the last eight quarters, with growth averaging 177.5%.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 778.9%); the low point was Q2 2023 (a decline of 30.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.48 billion (Q2 2026), $133.88 million (Q1 2026) and $138.52 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Sitime | 13.43 Bn | 9.59 Bn | 154.12 Mn | 1.49 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.49 Bn |
| Jun 30, 2026 | 1.48 Bn |
| Mar 31, 2026 | 133.88 Mn |
| Dec 31, 2025 | 138.52 Mn |
| Sep 30, 2025 | 173.60 Mn |
| Jun 30, 2025 | 168.46 Mn |
| Mar 31, 2025 | 179.59 Mn |
| Dec 31, 2024 | 185.24 Mn |
| Sep 30, 2024 | 181.67 Mn |
| Jun 30, 2024 | 186.04 Mn |
| Mar 31, 2024 | 246.41 Mn |
| Dec 31, 2023 | 243.63 Mn |
| Sep 30, 2023 | 37.35 Mn |
| Jun 30, 2023 | 37.24 Mn |
| Mar 31, 2023 | 32.77 Mn |
| Dec 31, 2022 | 42.14 Mn |
| Sep 30, 2022 | 43.61 Mn |
| Jun 30, 2022 | 53.68 Mn |
| Mar 31, 2022 | 44.17 Mn |
| Dec 31, 2021 | 45.71 Mn |
API Access
Sitime Total 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-liabilities&ticker=SITM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();