LQR House (YHC) Selling, General & Administrative (2022 - 2026)
LQR House (YHC) reported Selling, General & Administrative of $1.26 million for Q2 2026, down 42.8% from $2.21 million a year earlier and down 54.6% from the prior quarter.
LQR House (YHC) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LQR House's Selling, General & Administrative came in at $10.77 million, down 32.0% year-over-year; for FY2025, it was $10.95 million, down 24.7% from FY2024.
- Selling, General & Administrative has a three-year compound annual growth rate of 123.2% (FY2022 to FY2025).
- By year, Selling, General & Administrative came in at $14.56 million in FY2024 (+27.4%), $11.43 million in FY2023 and $985,011 in FY2022.
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q1 2023.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 42.8%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2024 (growth of 400.0%); the low point was Q3 2024 (a decline of 68.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.78 million (Q1 2026), $3.25 million (Q4 2025) and $3.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 206.17 Bn | 198.57 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 179.07 Bn | 179.07 Bn | 2.06 Bn | - |
| 4 | Pepsico | 171.83 Bn | 132.26 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn | -263.15 Mn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - | -1.63 Bn |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn | 2.40 Bn |
| 10 | LQR House | 274,109.43 | 31.28 Mn | 45,902.00 | 1.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 2.78 Mn |
| Dec 31, 2025 | 3.25 Mn |
| Sep 30, 2025 | 3.47 Mn |
| Jun 30, 2025 | 2.21 Mn |
| Mar 31, 2025 | 2.02 Mn |
| Dec 31, 2024 | 10.07 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.36 Mn |
| Mar 31, 2024 | 1.61 Mn |
| Dec 31, 2023 | 2.74 Mn |
| Sep 30, 2023 | 4.80 Mn |
| Jun 30, 2023 | 3.56 Mn |
| Mar 31, 2023 | 321,317.00 |
| Dec 31, 2022 | 131,684.00 |
| Sep 30, 2022 | 351,738.00 |
| Jun 30, 2022 | 248,052.00 |
LQR House Selling, General & Administrative 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=selling-general-and-administrative&ticker=YHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=YHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();