Vyome Holdings (HIND) Accumulated Expenses (2020 - 2026)
Vyome Holdings (HIND) reported Accumulated Expenses of $517,335 for Q2 2026, down 67.4% from $1.59 million a year earlier and down 12.3% from the prior quarter.
Vyome Holdings (HIND) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Vyome Holdings posted Accumulated Expenses of $639,150, up 37.8% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -29.3% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $463,686 in FY2024 (-74.4%), $1.81 million in FY2023 (-64.0%), $5.04 million in FY2022 (+49.6%) and $3.37 million in FY2021 (-7.2%).
- Five-year quarterly Accumulated Expenses spans a low of $249,190 in Q3 2025 and a high of $5.83 million in Q2 2022.
- Year over year, Accumulated Expenses gained in two of the last eight quarters, with an average decline of 38.2%.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2023 (growth of 52.8%); the low point was Q2 2022 (a decline of 89.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $590,140 (Q1 2026), $639,150 (Q4 2025) and $249,190 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Vyome Holdings | 13.55 Mn | -12.56 Mn | 11,658.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 517,335.00 |
| Mar 31, 2026 | 590,140.00 |
| Dec 31, 2025 | 639,150.00 |
| Sep 30, 2025 | 249,190.00 |
| Jun 30, 2025 | 1.59 Mn |
| Mar 31, 2025 | 2.16 Mn |
| Dec 31, 2024 | 463,686.00 |
| Sep 30, 2024 | 1.64 Mn |
| Jun 30, 2024 | 1.90 Mn |
| Mar 31, 2024 | 1.93 Mn |
| Dec 31, 2023 | 1.81 Mn |
| Sep 30, 2023 | 2.73 Mn |
| Jun 30, 2023 | 2.53 Mn |
| Mar 31, 2023 | 5.32 Mn |
| Dec 31, 2022 | 5.04 Mn |
| Sep 30, 2022 | 4.87 Mn |
| Jun 30, 2022 | 5.83 Mn |
| Mar 31, 2022 | 3.48 Mn |
| Dec 31, 2021 | 3.37 Mn |
| Sep 30, 2021 | 3.24 Mn |
Vyome Holdings Accumulated Expenses 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=accumulated-expenses&ticker=HIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=HIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();