Gaia (GAIA) Shares Outstanding (2009 - 2026)
Gaia (GAIA) posted Weighted Average Shares Outstanding of 25.02 million for Q3 2026, down 0.1% from 25.04 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Gaia (GAIA) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Gaia's Weighted Average Shares Outstanding came in at 24.85 million, up 6.5% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for eight consecutive years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In prior years, Gaia's Weighted Average Shares Outstanding was 23.34 million in FY2024 (+8.5%), 21.5 million in FY2023 (+3.8%), 20.72 million in FY2022 (+7.3%) and 19.31 million in FY2021 (+2.0%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 19.31 million in Q4 2021 to a high of 25.04 million in Q3 2025 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding increased in six of the last eight quarters, with growth averaging 4.6%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q2 2024, with growth of 12.0%; the weakest was Q2 2026, with a decline of 0.2%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 24.96 million (Q2 2026), 25 million (Q1 2026) and 24.85 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 12.26 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 2.55 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 4.13 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 2.32 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 2.04 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 333.63 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 205.41 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 750.00 Mn |
| 10 | Gaia | 31.78 Mn | 5.84 Mn | 18.77 Mn | 25.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.02 Mn |
| Jun 30, 2026 | 24.96 Mn |
| Mar 31, 2026 | 25.00 Mn |
| Dec 31, 2025 | 24.85 Mn |
| Sep 30, 2025 | 25.04 Mn |
| Jun 30, 2025 | 25.02 Mn |
| Mar 31, 2025 | 24.35 Mn |
| Dec 31, 2024 | 23.34 Mn |
| Sep 30, 2024 | 23.40 Mn |
| Jun 30, 2024 | 23.37 Mn |
| Mar 31, 2024 | 23.16 Mn |
| Dec 31, 2023 | 21.50 Mn |
| Sep 30, 2023 | 21.15 Mn |
| Jun 30, 2023 | 20.87 Mn |
| Mar 31, 2023 | 20.83 Mn |
| Dec 31, 2022 | 20.72 Mn |
| Sep 30, 2022 | 20.81 Mn |
| Jun 30, 2022 | 20.79 Mn |
| Mar 31, 2022 | 20.47 Mn |
| Dec 31, 2021 | 19.31 Mn |
API Access
Gaia Shares Outstanding 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=shares-outstanding&ticker=GAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();