Gaia (GAIA) Total Current Liabilities (2010 - 2026)
Gaia (GAIA) posted Total Current Liabilities of $35.51 million for Q2 2026, down 18.3% from $43.44 million a year earlier and down 9.4% from the prior quarter.
Gaia (GAIA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Gaia's Total Current Liabilities came in at $37.96 million, down 9.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, Gaia's Total Current Liabilities was $41.83 million in FY2024 (+33.1%), $31.43 million in FY2023 (+14.8%), $27.37 million in FY2022 (-8.2%) and $29.81 million in FY2021 (+39.8%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q3 2024.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last three quarters, with growth averaging 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2022, with growth of 43.9%; the weakest was Q2 2026, with a decline of 18.3%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $39.2 million (Q1 2026), $37.96 million (Q4 2025) and $44.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 126.11 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 56.38 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 12.13 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 78.45 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 1.46 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 14.87 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 21.07 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 31.35 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 51.40 Mn |
| 10 | Gaia | 34.95 Mn | -11.13 Mn | 19.91 Mn | 35.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.51 Mn |
| Mar 31, 2026 | 39.20 Mn |
| Dec 31, 2025 | 37.96 Mn |
| Sep 30, 2025 | 44.82 Mn |
| Jun 30, 2025 | 43.44 Mn |
| Mar 31, 2025 | 43.21 Mn |
| Dec 31, 2024 | 41.83 Mn |
| Sep 30, 2024 | 33.83 Mn |
| Jun 30, 2024 | 34.79 Mn |
| Mar 31, 2024 | 35.87 Mn |
| Dec 31, 2023 | 31.43 Mn |
| Sep 30, 2023 | 39.31 Mn |
| Jun 30, 2023 | 28.77 Mn |
| Mar 31, 2023 | 27.97 Mn |
| Dec 31, 2022 | 27.37 Mn |
| Sep 30, 2022 | 34.52 Mn |
| Jun 30, 2022 | 26.82 Mn |
| Mar 31, 2022 | 28.51 Mn |
| Dec 31, 2021 | 29.81 Mn |
| Sep 30, 2021 | 23.99 Mn |
Gaia Total Current Liabilities 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=total-current-liabilities&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();