Uber Technologies (UBER) Amortizatization of Intangibles (2018 - 2020)
Uber Technologies' (UBER) quarterly Amortizatization of Intangibles came in at $9.0 million in Q4 2020, up 350.0% year-over-year from $2.0 million in Q1 2020, and up 50.0% quarter-over-quarter from $6.0 million in Q3 2020.
Uber Technologies (UBER) Amortizatization of Intangibles (2018 - 2020) Analysis & Trends
Uber Technologies has disclosed Amortizatization of Intangibles across 3 years of filings, most recently posting $9.0 million for Q4 2020.
- In Q4 2020, Amortizatization of Intangibles rose 350.0% year-over-year to $9.0 million; the TTM figure through Dec 2020 stood at $45.0 million (down 45.12% YoY), while the FY2025 annual figure was $158.0 million, down 37.05% from the prior year.
- Amortizatization of Intangibles came in at $9.0 million for Q4 2020 at Uber Technologies, up from $6.0 million in the prior quarter.
- In the past five years, Amortizatization of Intangibles ranged from a high of $87.0 million in Q4 2018 to a low of $2.0 million in Q3 2019.
- Average Amortizatization of Intangibles over 3 years is $37.1 million, with a median of $22.5 million recorded in 2019.
- Year-over-year, Amortizatization of Intangibles slumped 97.7% in 2019 and soared 350.0% in 2020.
- Over 3 years, Amortizatization of Intangibles stood at $87.0 million in 2018, then tumbled by 97.7% to $2.0 million in 2019, then soared by 350.0% to $9.0 million in 2020.
- Per Business Quant data, the three most recent Amortizatization of Intangibles figures were $9.0 million in Q4 2020, $6.0 million in Q3 2020, and $10.0 million in Q2 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amortizatization of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Uber Technologies | 143.82 Bn | 138.61 Bn | 6.38 Bn | - |
| 2 | DoorDash | 83.59 Bn | 78.26 Bn | 2.35 Bn | - |
| 3 | Grab Holdings | 11.46 Bn | 7.73 Bn | 435.00 Mn | - |
| 4 | Lyft | 5.72 Bn | 3.92 Bn | 917.12 Mn | 12.93 Mn |
| 5 | Marti Technologies | 172.09 Mn | 159.58 Mn | 15.30 Mn | - |
| 6 | Ryde | 90.02 Mn | 90.02 Mn | - | - |
| 7 | Swvl Holdings | 42.55 Mn | 35.16 Mn | - | - |
| 8 | Scientific Energy | 7.90 Mn | -601,872.18 | 7.63 Mn | 40,986.00 |
| 9 | Pony | 689,999.98 | 680,158.98 | 3,440.00 | 1,381.00 |
| 10 | Freight Technologies | 71,357.58 | -275,360.42 | 373,200.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 9.00 Mn |
| Sep 30, 2020 | 6.00 Mn |
| Jun 30, 2020 | 10.00 Mn |
| Mar 31, 2020 | 20.00 Mn |
| Dec 31, 2019 | 2.00 Mn |
| Sep 30, 2019 | 2.00 Mn |
| Jun 30, 2019 | 25.00 Mn |
| Mar 31, 2019 | 53.00 Mn |
| Dec 31, 2018 | 87.00 Mn |
| Sep 30, 2018 | 82.00 Mn |
| Jun 30, 2018 | 79.00 Mn |
| Mar 31, 2018 | 70.00 Mn |
Uber Technologies 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=UBER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "UBER", "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=UBER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();