LQR House (YHC) Other Accumulated Expenses (2023 - 2026)
LQR House (YHC) posted Other Accumulated Expenses of $148,098 for Q2 2026, up 586.7% from $21,566 a year earlier and up 4.5% from the prior quarter.
LQR House (YHC) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, LQR House's Other Accumulated Expenses came in at $153,623, up 73.7% from FY2024.
- In prior years, LQR House's Other Accumulated Expenses was $88,445 in FY2024 (+96.5%) and $45,000 in FY2023.
- Quarterly Other Accumulated Expenses has run from a low of $21,566 in Q2 2025 to a high of $153,623 in Q4 2025 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last three quarters, with growth averaging 263.7% over the last four quarters.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $141,655 (Q1 2026), $153,623 (Q4 2025) and $28,460 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 368.60 Bn | 357.24 Bn | 8.42 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 |
| 5 | Anheuser-Busch InBev | 131.95 Bn | 100.69 Bn | 9.58 Bn |
| 6 | Monster Beverage | 84.12 Bn | 72.37 Bn | 1.42 Bn |
| 7 | Ambev | 46.97 Bn | 32.99 Bn | 2.06 Bn |
| 8 | Coca-Cola Europacific Partners | 45.38 Bn | 38.63 Bn | - |
| 9 | Keurig Dr Pepper | 41.33 Bn | 41.57 Bn | 3.07 Bn |
| 10 | LQR House | 274,109.43 | 31.28 Mn | 45,902.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148,098.00 |
| Mar 31, 2026 | 141,655.00 |
| Dec 31, 2025 | 153,623.00 |
| Sep 30, 2025 | 28,460.00 |
| Jun 30, 2025 | 21,566.00 |
| Mar 31, 2025 | 35,600.00 |
| Dec 31, 2024 | 88,445.00 |
| Dec 31, 2023 | 45,000.00 |
LQR House Other Accumulated 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=other-accumulated-expenses&ticker=YHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=YHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();