Gaia (GAIA) Exchange Rate Effect (2010 - 2016)
Gaia (GAIA) posted Exchange Rate Effect of $48,000 for Q1 2016, compared with -$641,000 a year earlier and down 65.0% from the prior quarter.
Powered by 
Analysis
Gaia (GAIA) Exchange Rate Effect (2010 - 2016) Analysis & Trends
For the trailing twelve months through Mar 31, 2016, Exchange Rate Effect at Gaia was $194,000; for FY2015, it came in at -$495,000.
- In prior years, Gaia's Exchange Rate Effect was -$707,000 in FY2014, -$292,000 in FY2013, $82,000 in FY2012 and -$45,000 in FY2011.
- Quarterly Exchange Rate Effect has run from a low of -$641,000 in Q1 2015 to a high of $425,000 in Q2 2015 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was $137,000 (Q4 2015), -$416,000 (Q3 2015) and $425,000 (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | -31.00 Mn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | -7.00 Mn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | -19.63 Mn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | -224.00 Mn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | -4.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 54.00 Mn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | -111.00 Mn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 182.40 Mn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | -1.55 Mn |
| 10 | Gaia | 35.09 Mn | 2.80 Mn | 19.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 48,000.00 |
| Dec 31, 2015 | 137,000.00 |
| Sep 30, 2015 | -416,000.00 |
| Jun 30, 2015 | 425,000.00 |
| Mar 31, 2015 | -641,000.00 |
| Dec 31, 2014 | -538,000.00 |
| Sep 30, 2014 | -270,000.00 |
| Jun 30, 2014 | 2,000.00 |
| Mar 31, 2014 | 99,000.00 |
| Dec 31, 2013 | -31,000.00 |
| Sep 30, 2013 | -2,000.00 |
| Jun 30, 2013 | -219,000.00 |
| Mar 31, 2013 | -40,000.00 |
| Dec 31, 2012 | 18,000.00 |
| Sep 30, 2012 | 84,000.00 |
| Jun 30, 2012 | -59,000.00 |
| Mar 31, 2012 | 39,000.00 |
| Dec 31, 2011 | -50,000.00 |
| Sep 30, 2011 | -65,000.00 |
| Jun 30, 2011 | 46,000.00 |
API Access
Gaia Exchange Rate Effect 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=exchange-rate-effect&ticker=GAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();