Uber Technologies Valuation | Assignment

UBER TECHNOLOGIES
Valuation

Introduction
• Uber is an American based company.
• It provides several services such as service hailing, food
delivery and micro mobility.
• It can be used in two modes, application or online
website.
• 67% of market share can be observed in the market.

5 year forecast steps
• In order to make the forecast the data of Uber has been
taken from Bloomberg.
• The growth rate has been 4% as per the history of Uber,
moreover, the opearting profits will move along the same
growth rate (Behr, Mielcarz & Osiichuk, 2018).
• The depreciation and the capital expenditure adjustment
has been made.
• To arrive at free cash flows the present value and the
terminal value.

Rationale behind DCF
• The rationale of DCF is, it is one of the best
measurements of valuing the share price.
• Appropriate for large and steady firms
• DCF model is implemented for verification of the
characteristic of share price.
• Other methods of valuation do not seems to be authentic
an reliable.

Calculation of DCF model
wacc 6.80%
DCF Method -8.97%
Particulars 0 1 2 3 4 5
DCF Method 2018 2019 2020 2021 2022 2022
Operating profit Before Interest and Tax -2766.000 -5919.000 -8181.830 -7160.822 -4802.031 -8596.556
growth(%) 4% 4% 4% 4% 4%
Tax 248.00 260.40 273.42 287.09 301.45 316.52
Post-tax operating profit (NOPAT) -3014.0 -6179.4 -8455.3 -7447.9 -5103.5 -8913.1
Add: Depreciation & amortization 426 480 487 495 502 509
Less: Change in working capital 152.00 155.80 159.70 163.69 167.78 171.97
Less: Capex (558.00) (585.90) (615.20) (645.95) (678.25) (712.17)
Free Cash Flow to Firm 2,182- 5,269- 7,513- 6,471- 4,091- 7,863-
FCF growth 1.41 0.43 (0.14) (0.37) 0.92
Discount factor 1.000 0.936 0.877 0.821 0.769 0.720
PV of Free Cash Flows (2,182.00) (4,933.80) (6,586.35) (5,312.11) (3,144.51) (5,659.21)
Sum of present values of FCFs (22,158.77)
Free cash flow (t+1) -4254.7
Terminal value 4%
Present value of terminal value -151954
Enterprise Value (174,113.09)
Less:
Net debt 6869.00
Minorities
Equity value (180,982.09)
Fair value per share (OMR) -396.02
Upside/Downside -1490%
28.49

Intrinsic value pre share
• Intrinsic value is dependent on the internal factors
of the company.
• The intrinsic value comes at $21.38 per share
• The share price in comparison to the market
value is overvalued by 25% (Jennergren, 2019).
• Intrinsic value is one of the major factor in
determining the value of share price.

Historical Beta
• Beta coefficient is a risk measure that is decides how risk
the share price is.
• When beta is represented in the slope form, it shows how
it deviates from the market.
• Fluctuates in comparison to the overall market.
• It is a single factor model of asset price.

Weighted average cost of Capital
• Weighted average cost of capital is commonly referred to
as WACC.
• It is not affected by the management it is dictated by the
market value (Maadani & Motamedi, 2016).
• WACC is a combination of the debt and the equity.
• The current WACC of Uber technologies is 6.80%.

Sensitivity Analysis
• Sensitivity analysis is the method that is used to define
two variables (Duchesne, Savelli & Cornélusse, 2019).
• The growth rate and WACC are the two variables that
have been considered.
11950 1% 3% 5% 7% 9% 11% 13%
0% 11950 11950 11950 11950 11950 11950 11950
1% 11950 11950 11950 11950 11950 11950 11950
2% 11950 11950 11950 11950 11950 11950 11950
3% 11950 11950 11950 11950 11950 11950 11950
4% 11950 11950 11950 11950 11950 11950 11950
5% 11950 11950 11950 11950 11950 11950 11950
6% 11950 11950 11950 11950 11950 11950 11950

Conclusion
• DCF Model is comparatively one of the best model to
identify the intrinsic value of the share.
• The forecasted variables have been entered into the DCF
model.
• The share of UBER has been overvalued.

References
• Behr, A., Mielcarz, P., & Osiichuk, D. (2018). Terminal value calculation in dcf
valuation models: An empirical verification. e-Finanse: Financial Internet
Quarterly, 14(1), 27-38.
• Chua, G. A., & Liu, Y. (2019). Sensitivity analysis on responsive pricing and
production under imperfect demand updating. Naval Research Logistics
(NRL), 66(7), 529-546.
• Drabikova, E., & Svetlik, J. (2018). SENSITIVITY ANALYSIS APPLICATION IN
THE COMPANY VALUATION: THE CASE OF DISCOUNTED CASH FLOW
METHOD. Ad Alta: Journal of Interdisciplinary Research, 8(1).
• Duchesne, L., Savelli, I., & Cornélusse, B. (2019). Sensitivity Analysis of a Local
Market Model for Community Microgrids. PowerTech Milano 2019 Proceedings.
• Jennergren, P. (2019). Calibration of DCF valuation in litigation: The case of
HQ (No. 2019: 2). Stockholm School of Economics.
• Maadani, M., & Motamedi, S. A. (2016). A comprehensive DCF performance
analysis in noisy industrial wireless networks. International Journal of
Communication Systems, 29(11), 1720-1739.