Myseum.AI (MYSE) Operating Expenses (2020 - 2026)
Myseum.AI's Operating Expenses came in at $2.15 million for Q2 2026, up 80.2% from $1.19 million a year earlier and up 27.7% from the prior quarter.
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Analysis
Myseum.AI (MYSE) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Myseum.AI reported Operating Expenses of $6.26 million, up 114.8% year-over-year; for FY2025, it came in at $5.49 million, up 70.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 38.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $3.22 million in FY2024 (-63.4%), $8.78 million in FY2023 (-28.4%), $12.27 million in FY2022 (+13.2%) and $10.84 million in FY2021 (+899.9%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q3 2023.
- Year-over-year, Operating Expenses increased in three of the last six quarters, with growth averaging 5.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 486.3%), and the weakest in Q4 2023 (a decline of 58.6%).
- Business Quant data shows MYSE's Operating Expenses at $1.69 million (Q1 2026), $1.14 million (Q4 2025) and $1.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Myseum.AI | 9.41 Mn | 9.41 Mn | - | 2.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Mn |
| Mar 31, 2026 | 1.69 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 1.28 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.43 Mn |
| Dec 31, 2024 | -951,447.00 |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 1.27 Mn |
| Mar 31, 2024 | 1.66 Mn |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 2.33 Mn |
| Mar 31, 2023 | 2.42 Mn |
| Dec 31, 2022 | 3.60 Mn |
| Sep 30, 2022 | 2.69 Mn |
| Jun 30, 2022 | 2.62 Mn |
| Mar 31, 2022 | 3.37 Mn |
| Dec 31, 2021 | 7.35 Mn |
| Sep 30, 2021 | 1.85 Mn |
API Access
Myseum.AI 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=MYSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MYSE", "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=MYSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();