Gaia (GAIA) Accumulated Expenses (2009 - 2026)
Gaia (GAIA) posted Accumulated Expenses of $4.32 million for Q3 2026, down 25.4% from $5.8 million a year earlier but up 153.9% from the prior quarter.
Powered by 
Analysis
Gaia (GAIA) Accumulated Expenses (2009 - 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.
- Quarterly Accumulated Expenses has run from a low of $1.7 million in Q2 2026 to a high of $5.8 million in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with growth averaging 17.9% over the last eight 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 $1.7 million (Q2 2026), $2.73 million (Q1 2026) and $3.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - |
| 10 | Gaia | 31.78 Mn | 5.84 Mn | 18.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.32 Mn |
| 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 |
API Access
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_KEYimport 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();