Gaia (GAIA) Amortizatization of Intangibles (2010 - 2016)
Gaia (GAIA) recorded Amortizatization 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.
Gaia (GAIA) Amortizatization of Intangibles (2010 - 2016) Analysis & Trends
On a TTM basis, Gaia's Amortizatization 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 Amortizatization of Intangibles has a five-year compound annual growth rate of -9.4% (FY2010 to FY2015).
- Across earlier years, Amortizatization 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 Amortizatization 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, Amortizatization of Intangibles has increased for three consecutive quarters, with growth averaging 35.5% over the last eight quarters.
- Peak year-over-year performance for Amortizatization 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | - |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | - |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 5.81 Mn |
| 10 | Gaia | 35.34 Mn | 3.05 Mn | 19.91 Mn | - |
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 |
Gaia Amortizatization 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_KEY
import 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();