OMF vs. UBER
OMF (OneMain Holdings, Inc.) and UBER (Uber Technologies, Inc.) are both stocks. OMF operates in Credit Services (Financial Services), while UBER operates in Software - Application (Technology). Over the past 5 years, OMF returned 8.86%/yr vs 6.60%/yr for UBER. At a 0.37 correlation, their price movements are largely independent.
Performance
OMF vs. UBER - Performance Comparison
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Returns By Period
In the year-to-date period, OMF achieves a -12.84% return, which is significantly higher than UBER's -15.74% return.
OMF
- 1D
- -0.02%
- 1M
- 5.96%
- YTD
- -12.84%
- 6M
- -14.45%
- 1Y
- 17.69%
- 3Y*
- 18.04%
- 5Y*
- 8.86%
- 10Y*
- 17.73%
UBER
- 1D
- -1.01%
- 1M
- -8.31%
- YTD
- -15.74%
- 6M
- -19.10%
- 1Y
- -17.97%
- 3Y*
- 18.47%
- 5Y*
- 6.60%
- 10Y*
- —
OMF vs. UBER - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | |
|---|---|---|---|---|---|---|---|---|
OMF OneMain Holdings, Inc. | -12.84% | 39.77% | 15.14% | 63.03% | -27.20% | 23.56% | 34.53% | 34.92% |
UBER Uber Technologies, Inc. | -15.74% | 35.46% | -2.03% | 148.97% | -41.02% | -17.78% | 71.49% | -29.19% |
Correlation
The correlation between OMF and UBER is 0.28, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.28 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.30 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.37 |
Correlation (All Time) Calculated using the full available price history since May 10, 2019 | 0.37 |
Fundamentals
OMF:
$6.65B
UBER:
$142.62B
OMF:
$6.71
UBER:
$4.05
OMF:
8.45
UBER:
16.98
OMF:
1.36
UBER:
2.70
OMF:
1.97
UBER:
5.76
OMF:
$4.94B
UBER:
$53.69B
OMF:
$2.20B
UBER:
$22.03B
OMF:
$943.00M
UBER:
$5.85B
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Return for Risk
OMF vs. UBER — Risk / Return Rank
OMF
UBER
OMF vs. UBER - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for OneMain Holdings, Inc. (OMF) and Uber Technologies, Inc. (UBER). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| OMF | UBER | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +1.11 | ||
| Sortino ratioReturn per unit of downside risk | +1.61 | ||
| Omega ratioGain probability vs. loss probability | 1.11 | 0.92 | +0.19 |
| Calmar ratioReturn relative to maximum drawdown | 0.50 | -0.62 | +1.13 |
| Martin ratioReturn relative to average drawdown | 1.12 | -1.09 | +2.22 |
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Drawdowns
OMF vs. UBER - Drawdown Comparison
The maximum OMF drawdown since its inception was -68.66%, roughly equal to the maximum UBER drawdown of -68.05%. Use the drawdown chart below to compare losses from any high point for OMF and UBER.
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Drawdown Indicators
| OMF | UBER | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -68.66% | -68.05% | -0.61% |
Max Drawdown (1Y)Largest decline over 1 year | -29.68% | -31.46% | +1.78% |
Max Drawdown (3Y)Largest decline over 3 years | -29.94% | -31.46% | +1.52% |
Max Drawdown (5Y)Largest decline over 5 years | -47.93% | -60.45% | +12.52% |
Max Drawdown (10Y)Largest decline over 10 years | -68.66% | — | — |
Current DrawdownCurrent decline from peak | -17.50% | -31.22% | +13.72% |
Average DrawdownAverage peak-to-trough decline | -24.29% | -25.67% | +1.38% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 13.25% | 17.93% | -4.68% |
Volatility
OMF vs. UBER - Volatility Comparison
OneMain Holdings, Inc. (OMF) has a higher volatility of 8.84% compared to Uber Technologies, Inc. (UBER) at 7.96%. This indicates that OMF's price experiences larger fluctuations and is considered to be riskier than UBER based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| OMF | UBER | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 8.84% | 7.96% | +0.88% |
Volatility (6M)Calculated over the trailing 6-month period | 21.61% | 23.21% | -1.60% |
Volatility (1Y)Calculated over the trailing 1-year period | 29.07% | 32.66% | -3.59% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 35.65% | 44.82% | -9.17% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 46.05% | 50.61% | -4.56% |
Dividends
OMF vs. UBER - Dividend Comparison
OMF's dividend yield for the trailing twelve months is around 7.39%, while UBER has not paid dividends to shareholders.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 |
|---|---|---|---|---|---|---|---|---|
OMF OneMain Holdings, Inc. | 7.39% | 6.17% | 7.90% | 8.13% | 11.41% | 19.08% | 12.33% | 7.12% |
UBER Uber Technologies, Inc. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Financials
OMF vs. UBER - Financials Comparison
This section allows you to compare key financial metrics between OneMain Holdings, Inc. and Uber Technologies, Inc.. You can select fields from income statements, balance sheets, and cash flow statements to easily visualize and compare the financial health of both companies.
Total Revenue: Total amount of money received from sales and other business activities
Frequently Asked Questions
OMF and UBER have a correlation of 0.28, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
OMF has higher volatility (8.84%) compared to UBER (7.96%). In terms of maximum drawdown, OMF dropped -68.66% vs UBER's -68.05%.
OMF currently has the higher Sharpe Ratio (0.51 vs -0.60), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
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