Eva Live (GOAI) Selling, General & Administrative (2022 - 2026)
Eva Live's Selling, General & Administrative was $2.02 million in Q2 2026, up 508.6% from $331,451 a year earlier but down 78.3% from the prior quarter.
Eva Live (GOAI) Selling, General & Administrative (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Eva Live's Selling, General & Administrative was $10.97 million through Jun 30, 2026, up 51.5% year-over-year; for FY2025, it was $377,385, down 95.0% from FY2024.
- Selling, General & Administrative shows a four-year compound annual growth rate of -56.0% (FY2021 to FY2025).
- In earlier years, Selling, General & Administrative was $7.48 million in FY2024 (-13.8%), $8.68 million in FY2023 (+309.3%), $2.12 million in FY2022 (-79.0%) and $10.1 million in FY2021.
- Quarterly Selling, General & Administrative has moved between -$861,013 (Q4 2025) and $9.28 million (Q1 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last five quarters, with growth averaging 56.8%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2026 (growth of 508.6%); the worst was Q4 2024 (a decline of 93.0%).
- Per Business Quant data, GOAI's Selling, General & Administrative in the three quarters before Q2 2026 was $9.28 million (Q1 2026), -$861,013 (Q4 2025) and $529,562 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Eva Live | 71.05 Mn | 60.92 Mn | - | 2.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Mn |
| Mar 31, 2026 | 9.28 Mn |
| Dec 31, 2025 | -861,013.00 |
| Sep 30, 2025 | 529,562.00 |
| Jun 30, 2025 | 331,451.00 |
| Mar 31, 2025 | 377,385.00 |
| Dec 31, 2024 | 572,993.00 |
| Sep 30, 2024 | 5.96 Mn |
| Jun 30, 2024 | 588,447.00 |
| Mar 31, 2024 | 366,463.00 |
| Dec 31, 2023 | 8.16 Mn |
| Sep 30, 2023 | 175,740.00 |
| Jun 30, 2023 | 141,696.00 |
| Mar 31, 2023 | 201,311.00 |
| Dec 31, 2022 | 680,323.00 |
| Sep 30, 2022 | 305,730.00 |
Eva Live Selling, General & Administrative 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=selling-general-and-administrative&ticker=GOAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=GOAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();