Gaia (GAIA) Operating Expenses (2010 - 2026)
Gaia (GAIA) reported Operating Expenses of $23.13 million for Q2 2026, down 1.8% from $23.54 million a year earlier but up 3.5% from the prior quarter.
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Analysis
Gaia (GAIA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gaia's Operating Expenses came in at $91.26 million, up 3.1% year-over-year; for FY2025, it came in at $91.26 million, up 10.5% from FY2024.
- Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $82.58 million in FY2024 (+12.6%), $73.36 million in FY2023 (+2.8%), $71.39 million in FY2022 (+6.4%) and $67.06 million in FY2021 (+6.8%).
- Five-year quarterly Operating Expenses spans a low of $17.05 million in Q3 2021 and a high of $23.54 million in Q2 2025.
- Year over year, Operating Expenses gained in seven of the last eight quarters, with growth averaging 9.7%.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 19.8%); the low point was Q1 2023 (a decline of 3.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $22.33 million (Q1 2026), $22.99 million (Q4 2025) and $22.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Gaia | 35.09 Mn | 2.80 Mn | 19.91 Mn | 23.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.13 Mn |
| Mar 31, 2026 | 22.33 Mn |
| Dec 31, 2025 | 22.99 Mn |
| Sep 30, 2025 | 22.82 Mn |
| Jun 30, 2025 | 23.54 Mn |
| Mar 31, 2025 | 21.92 Mn |
| Dec 31, 2024 | 22.96 Mn |
| Sep 30, 2024 | 20.12 Mn |
| Jun 30, 2024 | 20.46 Mn |
| Mar 31, 2024 | 19.04 Mn |
| Dec 31, 2023 | 19.17 Mn |
| Sep 30, 2023 | 17.69 Mn |
| Jun 30, 2023 | 18.61 Mn |
| Mar 31, 2023 | 17.90 Mn |
| Dec 31, 2022 | 17.54 Mn |
| Sep 30, 2022 | 17.56 Mn |
| Jun 30, 2022 | 17.66 Mn |
| Mar 31, 2022 | 18.62 Mn |
| Dec 31, 2021 | 17.74 Mn |
| Sep 30, 2021 | 17.05 Mn |
API Access
Gaia 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=operating-expenses&ticker=GAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();