LQR House (YHC) Return on Sales [ROS] (2022 - 2026)
LQR House (YHC) posted Return on Sales [ROS] of -351.83% for Q2 2026, up 90.23 percentage points from -442.06% a year earlier and up 954.13 percentage points from the prior quarter.
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Analysis
LQR House (YHC) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at LQR House was -908.28%, down 140.91 percentage points year-over-year; for FY2025, it was -730.35%, up 8.65 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of -423.90 percentage points (FY2022 to FY2025).
- In prior years, LQR House's Return on Sales [ROS] was -739.00% in FY2024 (+651.00 pp), -1390.01% in FY2023 (-1083.56 pp) and -306.45% in FY2022.
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +164.76 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 2588.38 percentage points; the weakest was Q3 2023, with a drop of 2801.24 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -1305.95% (Q1 2026), -1000.28% (Q4 2025) and -1134.79% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 34.92% |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | 13.96% |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 16.64% |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 27.38% |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | 29.18% |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | 23.89% |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 8.59% |
| 10 | LQR House | 274,109.43 | 31.28 Mn | 45,902.00 | -351.83% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -351.83% |
| Mar 31, 2026 | -1,305.95% |
| Dec 31, 2025 | -1,000.28% |
| Sep 30, 2025 | -1,134.79% |
| Jun 30, 2025 | -442.06% |
| Mar 31, 2025 | -558.96% |
| Dec 31, 2024 | -1,221.28% |
| Sep 30, 2024 | -561.11% |
| Jun 30, 2024 | -407.66% |
| Mar 31, 2024 | -513.91% |
| Dec 31, 2023 | -1,039.88% |
| Sep 30, 2023 | -3,149.49% |
| Jun 30, 2023 | -1,861.82% |
| Mar 31, 2023 | -213.91% |
| Dec 31, 2022 | -38.74% |
| Sep 30, 2022 | -348.26% |
| Jun 30, 2022 | -729.75% |
API Access
LQR House 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=YHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "YHC", "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=YHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();