Eva Live (GOAI) Operating Expenses (2022 - 2026)
Eva Live (GOAI) reported Operating Expenses of $5.07 million for Q2 2026, up 236.1% from $1.51 million a year earlier but down 61.1% from the prior quarter.
Powered by 
Analysis
Eva Live (GOAI) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eva Live's Operating Expenses came in at $23.71 million, up 103.3% year-over-year; for FY2025, it came in at $8.82 million, down 32.5% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of -7.7% (FY2021 to FY2025).
- By year, Operating Expenses came in at $13.06 million in FY2024 (+11.5%), $11.71 million in FY2023 (+239.9%), $3.44 million in FY2022 (-71.7%) and $12.16 million in FY2021.
- Five-year quarterly Operating Expenses spans a low of $453,927 in Q1 2023 and a high of $13.01 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 156.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q1 2026 (growth of 675.0%); the low point was Q4 2024 (a decline of 83.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.01 million (Q1 2026), $2.58 million (Q4 2025) and $3.05 million (Q3 2025).
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 | Eva Live | 73.79 Mn | 63.66 Mn | - | 5.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.07 Mn |
| Mar 31, 2026 | 13.01 Mn |
| Dec 31, 2025 | 2.58 Mn |
| Sep 30, 2025 | 3.05 Mn |
| Jun 30, 2025 | 1.51 Mn |
| Mar 31, 2025 | 1.68 Mn |
| Dec 31, 2024 | 1.56 Mn |
| Sep 30, 2024 | 6.92 Mn |
| Jun 30, 2024 | 2.54 Mn |
| Mar 31, 2024 | 2.04 Mn |
| Dec 31, 2023 | 9.44 Mn |
| Sep 30, 2023 | 1.21 Mn |
| Jun 30, 2023 | 599,140.00 |
| Mar 31, 2023 | 453,927.00 |
| Dec 31, 2022 | 454,452.00 |
| Sep 30, 2022 | 509,478.00 |
API Access
Eva Live 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=GOAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GOAI", "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=GOAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();