LQR House (YHC) Non Operating Income (2023 - 2026)
LQR House (YHC) posted Non Operating Income of $3.92 million for Q2 2026, compared with $1,400 a year earlier and up 96.6% from the prior quarter.
LQR House (YHC) Non Operating Income (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Income at LQR House was -$8.19 million; for FY2025, it came in at -$14.09 million.
- In prior years, LQR House's Non Operating Income was -$4.27 million in FY2024 and -$171,000 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Non Operating Income in data going back to Q3 2023.
- According to Business Quant data, Non Operating Income for the three prior quarters was $1.99 million (Q1 2026), -$1.1 million (Q4 2025) and -$13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 370.32 Bn | 358.96 Bn | 8.42 Bn | - |
| 2 | Diageo | 208.31 Bn | 200.71 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 181.53 Bn | 181.53 Bn | 2.06 Bn | - |
| 4 | Pepsico | 172.96 Bn | 133.40 Bn | 13.11 Bn | - |
| 5 | Anheuser-Busch InBev | 132.06 Bn | 100.80 Bn | 9.58 Bn | - |
| 6 | Monster Beverage | 81.53 Bn | 69.78 Bn | 1.42 Bn | - |
| 7 | Ambev | 46.02 Bn | 32.04 Bn | 2.06 Bn | - |
| 8 | Coca-Cola Europacific Partners | 45.68 Bn | 38.92 Bn | - | - |
| 9 | Keurig Dr Pepper | 41.29 Bn | 41.52 Bn | 3.07 Bn | - |
| 10 | LQR House | 274,109.43 | 31.28 Mn | 45,902.00 | 3.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.92 Mn |
| Mar 31, 2026 | 1.99 Mn |
| Dec 31, 2025 | -1.10 Mn |
| Sep 30, 2025 | -13.00 Mn |
| Jun 30, 2025 | 1,400.00 |
| Mar 31, 2025 | 10,206.00 |
| Dec 31, 2024 | -4.52 Mn |
| Sep 30, 2024 | 140,581.00 |
| Jun 30, 2024 | 65,099.00 |
| Mar 31, 2024 | 44,981.00 |
| Sep 30, 2023 | -171,000.00 |
LQR House Non Operating Income 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=non-operating-income&ticker=YHC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=YHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();