House of Doge (HODO) Operating Expenses (2024 - 2026)
House of Doge (HODO) recorded Operating Expenses of -$4.34 million in Q2 2026, compared with $11.85 million a year earlier.
House of Doge (HODO) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, House of Doge's Operating Expenses came in at $3.04 million as of Jun 30, 2026, down 77.0% year-over-year; for FY2025, it was $7.72 million, up 417.6% from FY2024.
- Across earlier years, Operating Expenses came in at $1.49 million in FY2024 (-35.5%) and $2.31 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Operating Expenses in data going back to Q1 2024.
- Per Business Quant, the preceding three quarters came in at $1.89 million (Q1 2026), $3.86 million (Q4 2025) and $1.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | House of Doge | 14.43 Mn | 14.43 Mn | - | -4.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.34 Mn |
| Mar 31, 2026 | 1.89 Mn |
| Dec 31, 2025 | 3.86 Mn |
| Sep 30, 2025 | 1.63 Mn |
| Jun 30, 2025 | 11.85 Mn |
| Mar 31, 2025 | 584,470.00 |
| Dec 31, 2024 | 231,247.00 |
| Sep 30, 2024 | 549,438.00 |
| Jun 30, 2024 | 408,612.00 |
| Mar 31, 2024 | 232,014.00 |
House of Doge 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=HODO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HODO", "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=HODO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();