Gaia (GAIA) Amortization of Intangibles (2009 - 2016)
Gaia (GAIA) recorded Amortization of Intangibles of $764,000 in Q1 2016, up 40.7% from $543,000 a year earlier but down 12.1% from the prior quarter.
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Analysis
Gaia (GAIA) Amortization of Intangibles (2009 - 2016) Analysis & Trends
On a TTM basis, Gaia's Amortization of Intangibles came in at $3 million as of Mar 31, 2016, up 33.6% year-over-year; for FY2015, it was $2.78 million, up 25.1% from FY2014.
- Annual Amortization of Intangibles has a five-year compound annual growth rate of -9.4% (FY2010 to FY2015).
- Across earlier years, Amortization of Intangibles came in at $2.22 million in FY2014 (+34.0%), $1.66 million in FY2013 (-14.7%), $1.95 million in FY2012 (-9.5%) and $2.15 million in FY2011 (-52.8%).
- Quarterly Amortization of Intangibles has ranged from -$2.56 million in Q4 2012 to $1.71 million in Q3 2012 over the past five years.
- On a year-over-year basis, Amortization of Intangibles has increased for three consecutive quarters, with growth averaging 35.5% over the last eight quarters.
- Peak year-over-year performance for Amortization of Intangibles in the last five years was growth of 132.9% in Q2 2012, against a decline of 99.6% in Q4 2011 at the low end.
- Per Business Quant, the preceding three quarters came in at $869,000 (Q4 2015), $684,000 (Q3 2015) and $686,000 (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | - |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | - |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 4.24 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | - |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | - |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 6.90 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | - |
| 10 | Gaia | 31.78 Mn | 5.84 Mn | 18.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 764,000.00 |
| Dec 31, 2015 | 869,000.00 |
| Sep 30, 2015 | 684,000.00 |
| Jun 30, 2015 | 686,000.00 |
| Mar 31, 2015 | 543,000.00 |
| Dec 31, 2014 | 557,000.00 |
| Sep 30, 2014 | 427,000.00 |
| Jun 30, 2014 | 721,000.00 |
| Mar 31, 2014 | 518,000.00 |
| Dec 31, 2013 | 537,000.00 |
| Sep 30, 2013 | 405,000.00 |
| Jun 30, 2013 | 331,000.00 |
| Mar 31, 2013 | 386,000.00 |
| Dec 31, 2012 | -2.56 Mn |
| Sep 30, 2012 | 1.71 Mn |
| Jun 30, 2012 | 1.50 Mn |
| Mar 31, 2012 | 1.29 Mn |
| Dec 31, 2011 | 5,000.00 |
| Sep 30, 2011 | 788,000.00 |
| Jun 30, 2011 | 645,000.00 |
API Access
Gaia Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=GAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=GAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();