Vyome Holdings (HIND) Return on Sales [ROS] (2015 - 2026)
Vyome Holdings (HIND) reported Return on Sales [ROS] of -3200.02% for Q2 2026, down 2551.05 percentage points from -648.98% a year earlier but up 376.76 percentage points from the prior quarter.
Vyome Holdings (HIND) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vyome Holdings' Return on Sales [ROS] came in at -9190.20%, down 8921.45 percentage points year-over-year; for FY2025, it was -3269.35%, down 2877.69 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -3159.10 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -391.66% in FY2024 (-214.39 pp), -177.26% in FY2023 (+235.11 pp), -412.38% in FY2022 (+13.23 pp) and -425.60% in FY2021 (-315.35 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -24761.92% in Q3 2025 and a high of -95.61% in Q4 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of -4344.03 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 657.26 percentage points); the low point was Q3 2025 (a drop of 24429.50 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -3576.78% (Q1 2026), -3707.35% (Q4 2025) and -24761.92% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Vyome Holdings | 13.41 Mn | -12.70 Mn | 11,658.00 | -3,200.02% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,200.02% |
| Mar 31, 2026 | -3,576.78% |
| Dec 31, 2025 | -3,707.35% |
| Sep 30, 2025 | -24,761.92% |
| Jun 30, 2025 | -648.98% |
| Mar 31, 2025 | -100.21% |
| Dec 31, 2024 | -416.76% |
| Sep 30, 2024 | -332.42% |
| Jun 30, 2024 | -104.53% |
| Mar 31, 2024 | -113.68% |
| Dec 31, 2023 | -95.61% |
| Sep 30, 2023 | -180.05% |
| Jun 30, 2023 | -176.40% |
| Mar 31, 2023 | -246.22% |
| Dec 31, 2022 | -536.75% |
| Sep 30, 2022 | -439.64% |
| Jun 30, 2022 | -319.64% |
| Mar 31, 2022 | -332.50% |
| Dec 31, 2021 | -1,194.02% |
| Sep 30, 2021 | -388.86% |
Vyome Holdings Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=HIND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=HIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();