Zepp Health (ZEPP) Total Current Liabilities (2016 - 2026)
Zepp Health (ZEPP) reported Total Current Liabilities of $314.38 million for Q2 2026, up 26.6% from $248.31 million a year earlier and up 6.8% from the prior quarter.
Zepp Health (ZEPP) Total Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Zepp Health posted Total Current Liabilities of $286.84 million, up 46.8% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $195.37 million in FY2024 (+26.0%), $155.11 million in FY2023 (-35.9%), $241.93 million in FY2022 (-28.4%) and $337.72 million in FY2021 (-21.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities since Q2 2022.
- Year over year, Total Current Liabilities gained in six of the last seven quarters, with growth averaging 14.1%.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2026 (growth of 38.6%); the low point was Q4 2024 (a decline of 88.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $294.26 million (Q1 2026), $286.84 million (Q4 2025) and $285.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,047.71 Bn | 4,795.20 Bn | 54.77 Bn | 149.33 Bn |
| 2 | Cisco Systems | 423.70 Bn | 359.63 Bn | 11.06 Bn | 41.53 Bn |
| 3 | Dell Technologies | 311.54 Bn | 267.29 Bn | 9.83 Bn | 83.70 Bn |
| 4 | Arista Networks | 230.81 Bn | 184.26 Bn | 1.91 Bn | 6.82 Bn |
| 5 | Sandisk | 204.60 Bn | 193.12 Bn | 7.58 Bn | 5.58 Bn |
| 6 | Seagate Technology Holdings | 154.45 Bn | 149.44 Bn | 1.90 Bn | 3.13 Bn |
| 7 | Sony | 150.45 Bn | 87.71 Bn | 6.53 Bn | 30.37 Bn |
| 8 | Western Digital | 131.40 Bn | 119.53 Bn | 2.03 Bn | 4.24 Bn |
| 9 | Hewlett Packard Enterprise | 77.62 Bn | 55.50 Bn | 4.93 Bn | 30.44 Bn |
| 10 | Zepp Health | 45.64 Mn | -196.21 Mn | 23.73 Mn | 314.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 314.38 Mn |
| Mar 31, 2026 | 294.26 Mn |
| Dec 31, 2025 | 286.84 Mn |
| Sep 30, 2025 | 285.93 Mn |
| Jun 30, 2025 | 248.31 Mn |
| Mar 31, 2025 | 212.34 Mn |
| Dec 31, 2024 | 195.37 Mn |
| Sep 30, 2024 | 225.57 Mn |
| Jun 30, 2024 | 194.63 Mn |
| Mar 31, 2024 | 160.06 Mn |
| Dec 31, 2023 | 154.96 Mn |
| Sep 30, 2023 | 167.57 Mn |
| Jun 30, 2023 | 187.35 Mn |
| Mar 31, 2023 | 175.32 Mn |
| Dec 31, 2022 | 239.64 Mn |
| Sep 30, 2022 | 294.67 Mn |
| Jun 30, 2022 | 339.57 Mn |
| Mar 31, 2022 | 340.52 Mn |
| Dec 31, 2021 | 337.74 Mn |
| Sep 30, 2021 | 329.82 Mn |
Zepp Health 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=ZEPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ZEPP", "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=ZEPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();