Gaia (GAIA) Accumulated Expenses (2010 - 2026)
Gaia (GAIA) posted Accumulated Expenses of $1.7 million for Q2 2026, down 18.9% from $2.1 million a year earlier and down 37.7% from the prior quarter.
Gaia (GAIA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Gaia's Accumulated Expenses came in at $3.4 million, down 2.7% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- In prior years, Gaia's Accumulated Expenses was $3.49 million in FY2024 (+34.3%), $2.6 million in FY2023 (-47.7%) and $4.97 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q4 2020.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with growth averaging 24.1% over the last seven quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2025, with growth of 204.1%; the weakest was Q1 2025, with a decline of 49.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.73 million (Q1 2026), $3.4 million (Q4 2025) and $5.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | Gaia | 35.34 Mn | 3.05 Mn | 19.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 Mn |
| Mar 31, 2026 | 2.73 Mn |
| Dec 31, 2025 | 3.40 Mn |
| Sep 30, 2025 | 5.80 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 2.90 Mn |
| Dec 31, 2024 | 3.49 Mn |
| Sep 30, 2024 | 1.91 Mn |
| Jun 30, 2024 | 1.96 Mn |
| Mar 31, 2024 | 5.73 Mn |
| Dec 31, 2023 | 2.60 Mn |
| Dec 31, 2022 | 4.97 Mn |
| Dec 31, 2020 | 1.50 Mn |
| Dec 31, 2019 | 1.81 Mn |
| Dec 31, 2018 | 1.20 Mn |
| Dec 31, 2017 | 938,000.00 |
| Dec 31, 2016 | 3.77 Mn |
| Mar 31, 2016 | 20.78 Mn |
| Dec 31, 2015 | 1.50 Mn |
| Sep 30, 2015 | 24.03 Mn |
Gaia Accumulated Expenses 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=accumulated-expenses&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();