Gaia (GAIA) Other Operating Expenses (2010 - 2026)
Gaia (GAIA) recorded Other Operating Expenses of $21.6 million in Q2 2026, up 4.7% from $20.63 million a year earlier and up 8.0% from the prior quarter.
Gaia (GAIA) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Gaia's Other Operating Expenses came in at $82.82 million as of Jun 30, 2026, up 4.0% year-over-year; for FY2025, it was $81.87 million, up 9.4% from FY2024.
- Annual Other Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $74.82 million in FY2024 (+11.4%), $67.16 million in FY2023 (+4.7%), $64.16 million in FY2022 (+6.0%) and $60.54 million in FY2021 (+6.3%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q3 2012.
- On a year-over-year basis, Other Operating Expenses rose in six of the last eight quarters, with growth averaging 9.1%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 17.7% in Q4 2024, against a decline of 3.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $20 million (Q1 2026), $20.64 million (Q4 2025) and $20.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Gaia | 33.56 Mn | 1.27 Mn | 19.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.60 Mn |
| Mar 31, 2026 | 20.00 Mn |
| Dec 31, 2025 | 20.64 Mn |
| Sep 30, 2025 | 20.58 Mn |
| Jun 30, 2025 | 20.63 Mn |
| Mar 31, 2025 | 20.02 Mn |
| Dec 31, 2024 | 20.83 Mn |
| Sep 30, 2024 | 18.11 Mn |
| Jun 30, 2024 | 18.48 Mn |
| Mar 31, 2024 | 17.41 Mn |
| Dec 31, 2023 | 17.69 Mn |
| Sep 30, 2023 | 16.25 Mn |
| Jun 30, 2023 | 17.09 Mn |
| Mar 31, 2023 | 16.12 Mn |
| Dec 31, 2022 | 15.96 Mn |
| Sep 30, 2022 | 15.54 Mn |
| Jun 30, 2022 | 15.87 Mn |
| Mar 31, 2022 | 16.79 Mn |
| Dec 31, 2021 | 16.12 Mn |
| Sep 30, 2021 | 15.54 Mn |
Gaia Other Operating 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=other-operating-expenses&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();