Vyome Holdings (HIND) Total Liabilities (2015 - 2026)
Vyome Holdings (HIND) recorded Total Liabilities of $1.86 million in Q2 2026, down 86.7% from $14.02 million a year earlier and down 13.0% from the prior quarter.
Vyome Holdings (HIND) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Vyome Holdings reported Total Liabilities of $2.74 million, down 52.6% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -34.4% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $5.77 million in FY2024 (-65.7%), $16.84 million in FY2023 (+125.1%), $7.48 million in FY2022 (-8.7%) and $8.2 million in FY2021 (-63.7%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q3 2020.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with an average decline of 40.2% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 125.1% in Q4 2023, against a decline of 86.7% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.14 million (Q1 2026), $2.74 million (Q4 2025) and $3.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Vyome Holdings | 14.25 Mn | -11.86 Mn | 11,658.00 | 1.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 2.14 Mn |
| Dec 31, 2025 | 2.74 Mn |
| Sep 30, 2025 | 3.13 Mn |
| Jun 30, 2025 | 14.02 Mn |
| Mar 31, 2025 | 6.13 Mn |
| Dec 31, 2024 | 5.77 Mn |
| Sep 30, 2024 | 5.36 Mn |
| Jun 30, 2024 | 10.36 Mn |
| Mar 31, 2024 | 14.53 Mn |
| Dec 31, 2023 | 16.84 Mn |
| Sep 30, 2023 | 4.74 Mn |
| Jun 30, 2023 | 5.11 Mn |
| Mar 31, 2023 | 8.59 Mn |
| Dec 31, 2022 | 7.48 Mn |
| Sep 30, 2022 | 7.53 Mn |
| Jun 30, 2022 | 9.58 Mn |
| Mar 31, 2022 | 8.66 Mn |
| Dec 31, 2021 | 8.20 Mn |
| Sep 30, 2021 | 11.48 Mn |
Vyome Holdings 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=HIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "HIND", "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=HIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();