Gaia (GAIA) Non-Current Assets (2010 - 2026)
Gaia (GAIA) reported Non-Current Assets of $133.07 million for Q2 2026, up 7.8% from $123.49 million a year earlier and up 0.4% from the prior quarter.
Analysis
Gaia (GAIA) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Gaia posted Non-Current Assets of $132.15 million, up 5.3% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $125.48 million in FY2024 (+9.9%), $114.19 million in FY2023 (-3.2%), $118.01 million in FY2022 (-0.6%) and $118.69 million in FY2021 (+26.8%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Year over year, Non-Current Assets has now increased in each of the last four quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2021 (growth of 26.8%); the low point was Q1 2024 (a decline of 4.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $132.52 million (Q1 2026), $132.15 million (Q4 2025) and $127.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 181.70 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 15.71 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 2.88 Bn |
| 10 | Gaia | 35.09 Mn | 2.80 Mn | 19.91 Mn | 133.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.07 Mn |
| Mar 31, 2026 | 132.52 Mn |
| Dec 31, 2025 | 132.15 Mn |
| Sep 30, 2025 | 127.61 Mn |
| Jun 30, 2025 | 123.49 Mn |
| Mar 31, 2025 | 124.35 Mn |
| Dec 31, 2024 | 125.48 Mn |
| Sep 30, 2024 | 125.27 Mn |
| Jun 30, 2024 | 126.48 Mn |
| Mar 31, 2024 | 112.38 Mn |
| Dec 31, 2023 | 114.19 Mn |
| Sep 30, 2023 | 115.71 Mn |
| Jun 30, 2023 | 117.03 Mn |
| Mar 31, 2023 | 117.65 Mn |
| Dec 31, 2022 | 118.01 Mn |
| Sep 30, 2022 | 117.16 Mn |
| Jun 30, 2022 | 117.10 Mn |
| Mar 31, 2022 | 116.83 Mn |
| Dec 31, 2021 | 118.69 Mn |
| Sep 30, 2021 | 96.80 Mn |
API Access
Gaia Non-Current Assets 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=non-current-assets&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();