Gaia (GAIA) Shares Outstanding (Diluted) (2010 - 2026)
Gaia (GAIA) reported Shares Outstanding (Diluted) 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.
Gaia (GAIA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Gaia posted Shares Outstanding (Diluted) of 24.85 million, up 6.5% from FY2024.
- Shares Outstanding (Diluted) has increased for seven consecutive years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 23.34 million in FY2024 (+8.5%), 21.5 million in FY2023 (+3.8%), 20.72 million in FY2022 (+4.4%) and 19.83 million in FY2021 (+2.7%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 19.81 million in Q3 2021 and a high of 25.04 million in Q3 2025.
- Year over year, Shares Outstanding (Diluted) gained in seven of the last eight quarters, with growth averaging 5.9%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2024 (growth of 12.0%); the low point was Q2 2026 (a decline of 0.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 25 million (Q1 2026), 24.85 million (Q4 2025) and 25.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 2.57 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 4.26 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 2.40 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.30 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 2.05 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 770.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 1.48 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 210.51 Mn |
| 10 | Gaia | 35.34 Mn | 3.05 Mn | 19.91 Mn | 24.96 Mn |
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 | 20.80 Mn |
| Mar 31, 2022 | 20.82 Mn |
| Dec 31, 2021 | 19.83 Mn |
| Sep 30, 2021 | 19.81 Mn |
Gaia Shares Outstanding (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=shares-outstanding-diluted&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();