Sitime (SITM) Total Current Liabilities (2018 - 2026)
Sitime's Total Current Liabilities came in at $118.39 million for Q3 2026, up 7.0% from $110.68 million a year earlier and up 7.9% from the prior quarter.
Sitime (SITM) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Sitime's Total Current Liabilities was $84.01 million, down 22.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 34.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $108.45 million in FY2024 (-10.7%), $121.39 million in FY2023 (+259.2%), $33.79 million in FY2022 (-9.6%) and $37.39 million in FY2021 (+95.3%).
- The Q3 2026 figure represents the highest quarterly Total Current Liabilities since Q1 2024.
- Year-over-year, Total Current Liabilities increased in four of the last eight quarters, with an average decline of 1.6%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2024 (growth of 373.7%), and the weakest in Q2 2023 (a decline of 30.2%).
- Business Quant data shows SITM's Total Current Liabilities at $109.74 million (Q2 2026), $76.08 million (Q1 2026) and $84.01 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Sitime | 13.43 Bn | 9.59 Bn | 154.12 Mn | 118.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 118.39 Mn |
| Jun 30, 2026 | 109.74 Mn |
| 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 | 31.28 Mn |
| Jun 30, 2023 | 30.46 Mn |
| Mar 31, 2023 | 25.21 Mn |
| Dec 31, 2022 | 33.79 Mn |
| Sep 30, 2022 | 35.00 Mn |
| Jun 30, 2022 | 43.62 Mn |
| Mar 31, 2022 | 34.07 Mn |
| Dec 31, 2021 | 37.39 Mn |
Sitime Total 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-current-liabilities&ticker=SITM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();