Gaia (GAIA) Shares Outstanding (2010 - 2026)
Gaia (GAIA) posted Shares Outstanding of 24.96 million for Q2 2026, down 0.2% from 25.02 million a year earlier and down 0.1% from the prior quarter.
Analysis
Gaia (GAIA) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Gaia's Shares Outstanding came in at 24.85 million, up 6.5% from FY2024.
- Annual 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 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 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, Shares Outstanding increased in seven of the last eight quarters, with growth averaging 5.9%.
- The strongest year-over-year quarter for 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, Shares Outstanding for the three prior quarters was 25 million (Q1 2026), 24.85 million (Q4 2025) and 25.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.54 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.19 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 2.32 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 768.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 1.40 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 205.41 Mn |
| 10 | Gaia | 33.56 Mn | 1.27 Mn | 19.91 Mn | 24.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 19.32 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_KEY
import 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();