Gaia (GAIA) EPS (Diluted) (2009 - 2026)
Gaia's EPS (Diluted) was -$0.12 in Q3 2026, compared with -$0.05 a year earlier.
Analysis
Gaia (GAIA) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gaia's EPS (Diluted) was -$0.31 through Sep 30, 2026; for FY2025, it came in at -$0.18.
- In earlier years, EPS (Diluted) was -$0.22 in FY2024, -$0.26 in FY2023, -$0.17 in FY2022 and $0.19 in FY2021 (+599.7%).
- Quarterly EPS (Diluted) has moved between -$0.12 (Q3 2022) and $0.11 (Q4 2021) over five years.
- Per Business Quant data, GAIA's EPS (Diluted) in the three quarters before Q3 2026 was -$0.12 (Q2 2026), -$0.05 (Q1 2026) and -$0.02 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 2.12 |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 3.83 |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 0.87 |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 0.65 |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 0.36 |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 0.25 |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 4.30 |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 2.83 |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 3.61 |
| 10 | Gaia | 31.78 Mn | 5.84 Mn | 18.77 Mn | -0.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.12 |
| Jun 30, 2026 | -0.12 |
| Mar 31, 2026 | -0.05 |
| Dec 31, 2025 | -0.02 |
| Sep 30, 2025 | -0.05 |
| Jun 30, 2025 | -0.07 |
| Mar 31, 2025 | -0.04 |
| Dec 31, 2024 | -0.03 |
| Sep 30, 2024 | -0.05 |
| Jun 30, 2024 | -0.09 |
| Mar 31, 2024 | -0.04 |
| Dec 31, 2023 | -0.08 |
| Sep 30, 2023 | -0.03 |
| Jun 30, 2023 | -0.09 |
| Mar 31, 2023 | -0.06 |
| Dec 31, 2022 | -0.04 |
| Sep 30, 2022 | -0.12 |
| Jun 30, 2022 | 0.00 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | 0.11 |
API Access
Gaia EPS (Diluted) 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=eps-diluted&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "GAIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();