Gaia (GAIA) Inventory (2010 - 2016)
Gaia's Inventory came in at $16.85 million for Q1 2016, down 16.3% from $20.12 million a year earlier and down 2.6% from the prior quarter.
Analysis
Gaia (GAIA) Inventory (2010 - 2016) Analysis & Trends
At the end of FY2015, Gaia's Inventory was $17.3 million, down 14.1% from FY2014.
- Inventory has declined in each of the last five years, with a five-year compound annual growth rate of -12.2% (FY2010 to FY2015).
- Going back by year, Inventory was $20.15 million in FY2014 (-0.6%), $20.28 million in FY2013 (-4.6%), $21.25 million in FY2012 (-27.2%) and $29.21 million in FY2011 (-12.1%).
- The five-year range for quarterly Inventory is $16.09 million (Q3 2015) to $39.88 million (Q3 2011).
- Year-over-year, Inventory has declined for four consecutive quarters, with an average decline of 17.7% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q2 2013 (growth of 3.6%), and the weakest in Q2 2014 (a decline of 42.6%).
- Business Quant data shows GAIA's Inventory at $17.3 million (Q4 2015), $16.09 million (Q3 2015) and $16.85 million (Q2 2015) in the three quarters before Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 9.99 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | - |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | - |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | - |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | - |
| 10 | Gaia | 35.09 Mn | 2.80 Mn | 19.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 16.85 Mn |
| Dec 31, 2015 | 17.30 Mn |
| Sep 30, 2015 | 16.09 Mn |
| Jun 30, 2015 | 16.85 Mn |
| Mar 31, 2015 | 20.12 Mn |
| Dec 31, 2014 | 20.15 Mn |
| Sep 30, 2014 | 20.82 Mn |
| Jun 30, 2014 | 18.30 Mn |
| Mar 31, 2014 | 19.89 Mn |
| Dec 31, 2013 | 20.28 Mn |
| Sep 30, 2013 | 33.66 Mn |
| Jun 30, 2013 | 31.88 Mn |
| Mar 31, 2013 | 28.59 Mn |
| Dec 31, 2012 | 21.25 Mn |
| Sep 30, 2012 | 37.44 Mn |
| Jun 30, 2012 | 30.78 Mn |
| Mar 31, 2012 | 29.39 Mn |
| Dec 31, 2011 | 29.21 Mn |
| Sep 30, 2011 | 39.88 Mn |
| Jun 30, 2011 | 36.18 Mn |
API Access
Gaia Inventory 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=inventory&ticker=GAIA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();