MENU
QS
AS OF
Mar 6, 01:42 PM (EDT)
Price
$6.74
Change
-$0.18 (-2.60%)
Capitalization
4.14B
54 days until earnings call
Intraday BUY SELL Signals
Go to the list of all blogs
Anna G's Avatar
published in Blogs
May 30, 2023
Powering Up the Future: QuantumScape (QS) Faces Challenges in the Auto Parts: OEM Industry

Powering Up the Future: QuantumScape (QS) Faces Challenges in the Auto Parts: OEM Industry

Become a pioneer in the world of AI-driven trading with Tickeron's advanced technology, elevating your decision-making process

In the race towards automotive innovation, QuantumScape (QS) found itself facing headwinds in the market this quarter. Over the last three months, the company's stock took a substantial dive, falling by -30.4% to reach $6.32 per share.

A comprehensive analysis conducted by A.I.dvisor scrutinized 139 stocks within the Auto Parts: OEM Industry for the 3-month period ending May 26, 2023. The analysis uncovered an intriguing landscape: 41 stocks (29.73%) exhibited an Uptrend, while 98 stocks (70.27%) demonstrated a Downtrend.

Now, let's explore the future of automotive technology and unveil the factors that contributed to QuantumScape's setback. From technological challenges to market dynamics and company-specific circumstances, the path to revolutionizing auto parts is filled with complexity.

Industry enthusiasts and investors now find themselves contemplating QuantumScape's ability to overcome these challenges and continue driving innovation in the industry. Can they unlock the power of next-generation batteries, navigate through obstacles, and regain their momentum? The automotive future awaits.

In the dynamic realm of auto parts and OEM, staying informed and making informed decisions is crucial. We are committed to closely monitoring QuantumScape's journey, providing you with valuable insights and potential opportunities that may arise. Stay tuned for more expert analysis and captivating perspectives within the ever-changing Auto Parts: OEM Industry.

Related Ticker: QS

QS sees its 50-day moving average cross bearishly below its 200-day moving average

The 50-day moving average for QS moved below the 200-day moving average on February 23, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

Following a 3-day decline, the stock is projected to fall further. Considering past instances where QS declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

The Aroon Indicator for QS entered a downward trend on March 05, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Bullish Trend Analysis

The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where QS's RSI Oscillator exited the oversold zone, of 31 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 69 cases where QS's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for QS just turned positive on February 27, 2026. Looking at past instances where QS's MACD turned positive, the stock continued to rise in of 47 cases over the following month. The odds of a continued upward trend are .

Following a +1 3-day Advance, the price is estimated to grow further. Considering data from situations where QS advanced for three days, in of 246 cases, the price rose further within the following month. The odds of a continued upward trend are .

QS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is fair valued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (3.668) is normal, around the industry mean (2.111). P/E Ratio (0.000) is within average values for comparable stocks, (47.486). Projected Growth (PEG Ratio) (0.000) is also within normal values, averaging (1.447). QS's Dividend Yield (0.000) is considerably lower than the industry average of (0.026). P/S Ratio (0.000) is also within normal values, averaging (6.425).

The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating fairly steady price growth. QS’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.

The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.

The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating that the returns do not compensate for the risks. QS’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 84, placing this stock worse than average.

Notable companies

The most notable companies in this group are AutoZone (NYSE:AZO), Advance Auto Parts (NYSE:AAP), Goodyear Tire & Rubber Company (The) (NASDAQ:GT).

Industry description

OEM or Original Equipment Manufacturer of auto parts refers to the original producer of a vehicles components, and so OEM car parts are usually identical to the parts used in producing the vehicle in the first place. OEM parts tend to fit the specifications of a particular model, and their compatibility is often guaranteed by the automaker itself. OEM parts could be more expensive to buy (compared to other vendors’ products) when a consumer goes for replacement. However, increased competition from aftermarket parts/third-party vendors could, in some cases, keep EOM prices in check. The industry might progress further in adopting newer technologies like 3D printing to boost supply chain performance and quality. Aptiv PLC, Magna International Inc. and BorgWarner Inc. are major OEMs for autos.

Market Cap

The average market capitalization across the Auto Parts: OEM Industry is 7.32B. The market cap for tickers in the group ranges from 206 to 80.01B. ORLY holds the highest valuation in this group at 80.01B. The lowest valued company is JBZY at 206.

High and low price notable news

The average weekly price growth across all stocks in the Auto Parts: OEM Industry was -4%. For the same Industry, the average monthly price growth was 0%, and the average quarterly price growth was 7%. NPSKF experienced the highest price growth at 76%, while SES experienced the biggest fall at -37%.

Volume

The average weekly volume growth across all stocks in the Auto Parts: OEM Industry was 99%. For the same stocks of the Industry, the average monthly volume growth was 30% and the average quarterly volume growth was 59%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 46
P/E Growth Rating: 51
Price Growth Rating: 53
SMR Rating: 74
Profit Risk Rating: 84
Seasonality Score: -33 (-100 ... +100)
View a ticker or compare two or three
QS
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
These past five trading days, the stock lost 0.00% with an average daily volume of 0 shares traded.The stock tracked a drawdown of 0% for this period. QS showed earnings on February 11, 2026. You can read more about the earnings report here.
A.I. Advisor
published General Information

General Information

Industry AutoPartsOEM

Profile
Fundamentals
Details
Interact to see
Advertisement
Tickeron, a leader in AI-driven financial tools, today announced exceptional results from its AI Trading Agents, showcasing annualized returns ranging from 102% to 210% across various high-liquidity stocks and strategies.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking performance from its suite of AI Trading Agents. Powered by Financial Learning Models (FLMs), these agents have demonstrated exceptional returns, with top performers achieving annualized gains of up to 83% over periods ranging from 127 to 390 days.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today unveils its Top 10 Day Traders: AI Trading Robots, showcasing exceptional performance in volatile markets. Powered by advanced Financial Learning Models (FLMs), these robots integrate AI with technical analysis to deliver real-time insights for day traders.
#artificial_intelligence
Tickeron, a leader in AI-driven financial solutions, announces groundbreaking performance results for its Crypto AI Trading Robots, achieving annualized returns of up to 85% for ETH.X, 56% for OM.X, and 49% for XRP.X in 2025, powered by advanced Financial Learning Models (FLMs).
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing annualized returns as high as +84% across various stocks and portfolios.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These innovative brokerage agents provide real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced groundbreaking results from its AI Trading Agents, showcasing exceptional performance in real-time trading signals powered by machine learning. Utilizing tick-level brokerage data and precise trade amounts, these agents operate on 5-, 15-, and 60-minute timeframes to provide traders with actionable insights in volatile markets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents. These cutting-edge brokerage agents deliver real-time trading signals powered by machine learning, leveraging tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes. Designed to empower traders with superior insights, the agents have demonstrated exceptional performance, including annualized returns as high as 82%.
#artificial_intelligence
The financial markets have undergone a profound transformation in recent years, driven by the integration of artificial intelligence (AI) into trading strategies. As a financial analyst, writer, and AI specialist, one observes that AI trading agents represent a pinnacle of this evolution, blending machine learning algorithms with real-time data analysis to execute trades with unprecedented precision.
#artificial_intelligence
AI trading represents a revolutionary shift in how financial markets operate, combining artificial intelligence, machine learning, and sophisticated algorithmic trading strategies to execute trades with unprecedented precision and speed.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced exceptional trading results from its AI Trading Agent focused on Hubbell Incorporated (HUBB). The agent, operating on a 5-minute timeframe, delivered a +105% annualized return, starting from an initial balance of $100,000.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technology, today announced the launch of its advanced AI Trading Agents, delivering real-time trading signals and sophisticated money management for retail and institutional traders. Powered by Financial Learning Models (FLMs) and machine learning, these agents operate across 5-, 15-, and 60-minute timeframes, achieving annualized returns of up to 145% on select portfolios.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, today announced the exceptional performance of its AI Trading Agents, achieving annualized returns of up to 162%, profitable trade percentages as high as 90.51%, and a robust profit factor across multiple assets.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technology, proudly announces the exceptional performance of its AI Trading Agents, delivering annualized returns of up to 188% on a 5-minute timeframe.
#artificial_intelligence
Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex.
#artificial_intelligence
AI trading bots represent the pinnacle of financial technology innovation, transforming how traders and investors interact with global markets.
#artificial_intelligence
As a financial analyst, writer, and AI specialist, I've always pushed for innovations that merge artificial intelligence with actionable trading tools. In the fast-paced world of modern markets, where volatility demands quick decisions, Tickeron's new "My Trades Aggregator (from AI Robots Followed)" aggregator stands out as a revolutionary feature.
#artificial_intelligence#trading
Tickeron, a leading provider of AI-driven trading solutions, is thrilled to announce the exceptional performance of its AI Trading Agents, delivering outstanding results across multiple high-profile stocks.
#artificial_intelligence
Tickeron, a leader in AI-driven financial technologies, today announced groundbreaking results from its AI Crypto Trading Virtual Agents. These innovative tools provide real-time trading signals, integrated money management, and customizable balances, all powered by advanced machine learning algorithms operating on 5-, 15-, and 60-minute timeframes.
#artificial_intelligence
Tickeron, a leading innovator in AI-driven financial technologies, today announced the launch of its advanced AI Trading Brokerage Agents. These cutting-edge tools deliver real-time trading signals powered by machine learning, utilizing tick-level brokerage data and precise trade amounts across 5-, 15-, and 60-minute timeframes.
#artificial_intelligence