Mntn (MNTN) Operating Expenses (2024 - 2026)
Mntn's Operating Expenses was $59.18 million in Q2 2026, up 21.2% from $48.85 million a year earlier and up 17.3% from the prior quarter.
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Analysis
Mntn (MNTN) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mntn's Operating Expenses was $208.27 million through Jun 30, 2026, up 12.2% year-over-year; for FY2025, it was $199.9 million, up 22.5% from FY2024.
- In earlier years, Operating Expenses was $163.17 million in FY2024.
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q2 2024.
- Compared with a year earlier, Operating Expenses was higher in four of the last five quarters, with growth averaging 14.5%.
- Per Business Quant data, MNTN's Operating Expenses in the three quarters before Q2 2026 was $50.44 million (Q1 2026), $50.95 million (Q4 2025) and $47.7 million (Q3 2025).
Peer Set
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 | Mntn | 755.45 Mn | -85.07 Mn | 66.30 Mn | 59.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.18 Mn |
| Mar 31, 2026 | 50.44 Mn |
| Dec 31, 2025 | 50.95 Mn |
| Sep 30, 2025 | 47.70 Mn |
| Jun 30, 2025 | 48.85 Mn |
| Mar 31, 2025 | 52.40 Mn |
| Dec 31, 2024 | 43.76 Mn |
| Sep 30, 2024 | 40.57 Mn |
| Jun 30, 2024 | 40.42 Mn |
API Access
Mntn 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=MNTN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MNTN", "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=MNTN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();