LQR House (YHC) Operating Expenses (2022 - 2026)
LQR House (YHC) recorded Operating Expenses of $1.26 million in Q2 2026, down 44.8% from $2.29 million a year earlier and down 56.2% from the prior quarter.
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Analysis
LQR House (YHC) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, LQR House's Operating Expenses came in at $11.03 million as of Jun 30, 2026, down 40.0% year-over-year; for FY2025, it came in at $11.6 million, down 36.2% from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 91.9% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $18.17 million in FY2024 (+15.2%), $15.78 million in FY2023 (+862.2%) and $1.64 million in FY2022.
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2023.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with an average decline of 6.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 994.7% in Q3 2023, against a decline of 70.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.89 million (Q1 2026), $3.05 million (Q4 2025) and $3.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 398.89 Bn | 385.36 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 198.63 Bn | 198.63 Bn | 2.06 Bn | 1.49 Bn |
| 3 | Pepsico | 183.51 Bn | 141.28 Bn | 13.75 Bn | 9.49 Bn |
| 4 | Monster Beverage | 91.63 Bn | 79.88 Bn | 1.42 Bn | 679.19 Mn |
| 5 | Diageo | 51.67 Bn | 31.74 Bn | - | - |
| 6 | Ambev | 51.15 Bn | 36.44 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.68 Bn | 43.35 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 47.00 Bn | 43.04 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.40 Bn | 21.95 Bn | 1.39 Bn | 538.20 Mn |
| 10 | LQR House | 383,324.91 | -27.41 Mn | 45,902.00 | 1.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 2.89 Mn |
| Dec 31, 2025 | 3.05 Mn |
| Sep 30, 2025 | 3.83 Mn |
| Jun 30, 2025 | 2.29 Mn |
| Mar 31, 2025 | 2.43 Mn |
| Dec 31, 2024 | 10.22 Mn |
| Sep 30, 2024 | 3.44 Mn |
| Jun 30, 2024 | 2.12 Mn |
| Mar 31, 2024 | 2.39 Mn |
| Dec 31, 2023 | 6.42 Mn |
| Sep 30, 2023 | 5.38 Mn |
| Jun 30, 2023 | 3.61 Mn |
| Mar 31, 2023 | 369,640.00 |
| Dec 31, 2022 | 314,445.00 |
| Sep 30, 2022 | 491,251.00 |
| Jun 30, 2022 | 418,043.00 |
API Access
LQR House Operating 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=operating-expenses&ticker=YHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=YHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();