Earnings before Interest, Tax, Depreciation and Amortization (EBITDA)
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
The financial performance from 2015 to 2019 is characterized by a period of rapid expansion peaking in 2017, followed by a gradual decline in operational profitability through 2019. While relative stability was observed between 2015 and 2016, a substantial increase in earnings occurred in 2017 across all reported metrics, before a subsequent downward trajectory began.
- EBITDA Trends
- EBITDA grew from US$ 1,561 million in 2015 to a peak of US$ 3,414 million in 2017, marking a significant increase in operational cash flow. However, this growth was not sustained, as EBITDA declined to US$ 2,969 million in 2018 and further to US$ 2,396 million by the end of 2019.
- Operating Profitability and Asset Utilization
- The variance between EBITDA and EBIT reflects the impact of depreciation and amortization. A notable increase in these non-cash charges is observed in 2019, where the difference reached US$ 403 million, compared to US$ 139 million in 2015. This suggests an expansion of the asset base or a shift in the amortization of acquired intangibles over the five-year period.
- Net Income and Earnings Volatility
- Net income exhibited a different peak cycle than operational metrics, reaching its maximum in 2018 at US$ 1,907 million, whereas EBITDA and EBIT peaked in 2017. The sharp decline in net income to US$ 1,273 million in 2019 mirrors the contraction seen in EBT and EBIT, indicating that the reduction in the bottom line was primarily driven by a decrease in operating performance rather than anomalous tax or interest expenses.
- Earnings Before Tax (EBT) and EBIT Analysis
- EBIT and EBT followed nearly identical trajectories, both peaking in 2017 at US$ 3,124 million and US$ 2,836 million respectively. The narrow margin between EBIT and EBT suggests that interest expenses remained relatively stable or small relative to operating profits during the period of peak growth.
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Enterprise Value to EBITDA Ratio, Current
| Selected Financial Data (US$ in millions) | |
| Enterprise value (EV) | 37,405) |
| Earnings before interest, tax, depreciation and amortization (EBITDA) | 2,396) |
| Valuation Ratio | |
| EV/EBITDA | 15.61 |
| Benchmarks | |
| EV/EBITDA, Competitors1 | |
| Airbnb Inc. | 27.31 |
| Booking Holdings Inc. | 13.34 |
| Chipotle Mexican Grill Inc. | 16.83 |
| DoorDash, Inc. | 46.80 |
| McDonald’s Corp. | 14.01 |
| Starbucks Corp. | 25.01 |
Based on: 10-K (reporting date: 2019-12-31).
1 Click competitor name to see calculations.
If the company EV/EBITDA is lower then the EV/EBITDA of benchmark then company is relatively undervalued.
Otherwise, if the company EV/EBITDA is higher then the EV/EBITDA of benchmark then company is relatively overvalued.
Enterprise Value to EBITDA Ratio, Historical
| Dec 31, 2019 | Dec 31, 2018 | Dec 31, 2017 | Dec 31, 2016 | Dec 31, 2015 | ||
|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | ||||||
| Enterprise value (EV)1 | 49,504) | 51,303) | 58,357) | 41,398) | 20,472) | |
| Earnings before interest, tax, depreciation and amortization (EBITDA)2 | 2,396) | 2,969) | 3,414) | 1,586) | 1,561) | |
| Valuation Ratio | ||||||
| EV/EBITDA3 | 20.66 | 17.28 | 17.09 | 26.10 | 13.11 | |
| Benchmarks | ||||||
| EV/EBITDA, Competitors4 | ||||||
| Airbnb Inc. | — | — | — | — | — | |
| Booking Holdings Inc. | — | — | — | — | — | |
| Chipotle Mexican Grill Inc. | — | — | — | — | — | |
| DoorDash, Inc. | — | — | — | — | — | |
| McDonald’s Corp. | — | — | — | — | — | |
| Starbucks Corp. | — | — | — | — | — | |
Based on: 10-K (reporting date: 2019-12-31), 10-K (reporting date: 2018-12-31), 10-K (reporting date: 2017-12-31), 10-K (reporting date: 2016-12-31), 10-K (reporting date: 2015-12-31).
3 2019 Calculation
EV/EBITDA = EV ÷ EBITDA
= 49,504 ÷ 2,396 = 20.66
4 Click competitor name to see calculations.
The financial trajectory between 2015 and 2019 is characterized by significant volatility in valuation and operational earnings, leading to fluctuating enterprise multiples.
- Enterprise Value (EV) Trends
- A substantial increase in enterprise value is observed from 2015 to 2017, rising from US$ 20,472 million to a peak of US$ 58,357 million. Following this peak, a moderate contraction occurred, with the value receding to US$ 49,504 million by the end of 2019.
- EBITDA Performance
- Earnings before interest, tax, depreciation, and amortization remained relatively stagnant between 2015 and 2016. A sharp increase occurred in 2017, where EBITDA more than doubled to US$ 3,414 million. However, a subsequent downward trend is evident from 2018 through 2019, with earnings falling to US$ 2,396 million.
- EV/EBITDA Ratio Analysis
- The valuation multiple exhibited significant variance over the period. A dramatic spike to 26.10 was recorded in 2016, indicating that enterprise value grew at a rate far exceeding operational earnings. This ratio normalized to 17.09 in 2017 as the surge in EBITDA aligned more closely with the company's valuation. While the ratio remained stable in 2018, it increased to 20.66 in 2019, reflecting a scenario where EBITDA declined more rapidly than the overall enterprise value.
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