Gaia (GAIA) Receivables (2010 - 2026)
Gaia (GAIA) posted Receivables of $6.36 million for Q3 2026, up 13.2% from $5.62 million a year earlier and up 16.5% from the prior quarter.
Analysis
Gaia (GAIA) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Gaia's Receivables came in at $5.44 million, down 26.2% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 21.9% (FY2020 to FY2025).
- In prior years, Gaia's Receivables was $7.37 million in FY2024 (+16.9%), $6.3 million in FY2023 (+103.1%), $3.1 million in FY2022 (+13.7%) and $2.73 million in FY2021 (+34.8%).
- The Q3 2026 figure stands as the highest quarterly Receivables since Q1 2025.
- On a year-over-year basis, Receivables increased in three of the last eight quarters, with an average decline of 8.8%.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2024, with growth of 113.0%; the weakest was Q1 2026, with a decline of 26.8%.
- According to Business Quant data, Receivables for the three prior quarters was $5.46 million (Q2 2026), $5.45 million (Q1 2026) and $5.44 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,555.16 Bn | 3,290.06 Bn | 76.16 Bn | 72.78 Bn |
| 2 | Meta Platforms | 1,645.02 Bn | 1,309.54 Bn | 51.23 Bn | 22.72 Bn |
| 3 | Netflix | 259.98 Bn | 221.27 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 242.36 Bn | 241.21 Bn | - | 5.21 Bn |
| 5 | Shopify | 192.37 Bn | 171.18 Bn | 1.78 Bn | 483.00 Mn |
| 6 | Uber Technologies | 142.90 Bn | 113.72 Bn | 6.42 Bn | 4.43 Bn |
| 7 | AppLovin | 130.75 Bn | 119.27 Bn | 1.94 Bn | 2.39 Bn |
| 8 | Spotify Technology | 122.74 Bn | 105.49 Bn | - | 1.25 Bn |
| 9 | Booking Holdings | 122.04 Bn | 55.79 Bn | - | 4.32 Bn |
| 10 | Gaia | 32.27 Mn | -6.74 Mn | 18.77 Mn | 6.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.36 Mn |
| Jun 30, 2026 | 5.46 Mn |
| Mar 31, 2026 | 5.45 Mn |
| Dec 31, 2025 | 5.44 Mn |
| Sep 30, 2025 | 5.62 Mn |
| Jun 30, 2025 | 5.72 Mn |
| Mar 31, 2025 | 7.44 Mn |
| Dec 31, 2024 | 7.37 Mn |
| Sep 30, 2024 | 7.37 Mn |
| Jun 30, 2024 | 7.71 Mn |
| Mar 31, 2024 | 6.99 Mn |
| Dec 31, 2023 | 6.30 Mn |
| Sep 30, 2023 | 3.83 Mn |
| Jun 30, 2023 | 3.62 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 3.10 Mn |
| Sep 30, 2022 | 3.12 Mn |
| Jun 30, 2022 | 2.97 Mn |
| Mar 31, 2022 | 2.90 Mn |
| Dec 31, 2021 | 2.73 Mn |
API Access
Gaia Receivables 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=receivables&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();