Vyome Holdings (HIND) Return on Assets [ROA] (2016 - 2026)
Vyome Holdings (HIND) reported Return on Assets [ROA] of -119.62% for Q2 2026, down 91.79 percentage points from -27.83% a year earlier but up 14.28 percentage points from the prior quarter.
Vyome Holdings (HIND) Return on Assets [ROA] (2016 - 2026) Analysis & Trends
For FY2025, Vyome Holdings posted Return on Assets [ROA] of -265.97%, down 241.94 percentage points from FY2024.
- Return on Assets [ROA] has a five-year change of -190.68 percentage points (FY2020 to FY2025).
- By year, Return on Assets [ROA] came in at -24.04% in FY2024 (+80.41 pp), -104.44% in FY2023 (+40.72 pp), -145.16% in FY2022 (-4.20 pp) and -140.96% in FY2021 (-65.67 pp).
- Five-year quarterly Return on Assets [ROA] spans a low of -296.24% in Q1 2023 and a high of -27.83% in Q2 2025.
- Year over year, Return on Assets [ROA] has now declined in each of the last four quarters, with an average year-over-year change of +4.48 percentage points over the last eight quarters.
- The high point for year-over-year Return on Assets [ROA] in five years was Q1 2024 (a gain of 202.53 percentage points); the low point was Q3 2022 (a drop of 167.68 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -133.90% (Q1 2026), -154.74% (Q4 2025) and -118.26% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 16.34% |
| 10 | Vyome Holdings | 13.55 Mn | -12.56 Mn | 11,658.00 | -119.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -119.62% |
| Mar 31, 2026 | -133.90% |
| Dec 31, 2025 | -154.74% |
| Sep 30, 2025 | -118.26% |
| Jun 30, 2025 | -27.83% |
| Mar 31, 2025 | -114.29% |
| Dec 31, 2024 | -108.84% |
| Sep 30, 2024 | -74.01% |
| Jun 30, 2024 | -79.67% |
| Mar 31, 2024 | -93.70% |
| Dec 31, 2023 | -123.17% |
| Sep 30, 2023 | -265.85% |
| Jun 30, 2023 | -246.58% |
| Mar 31, 2023 | -296.24% |
| Dec 31, 2022 | -245.45% |
| Sep 30, 2022 | -200.34% |
| Jun 30, 2022 | -167.35% |
| Mar 31, 2022 | -135.27% |
| Dec 31, 2021 | -88.12% |
| Sep 30, 2021 | -32.67% |
Vyome Holdings Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=HIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=HIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();