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Tesla Model 3, Model X take top spots for EV with highest resale value by KBB

Tesla Model 3 and Model X [Credit: @Harbles via Twitter]

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The Kelley Blue Book (KBB) 2019 Best Resale Value Award Winners are in, and Tesla’s Model 3 has landed at the top of the electric vehicle category with a projected 69.3% resale value after 36 months and 48.7% after 60 months. Its SUV brethren, the Model X, achieved a worthy status of its own, placing 2nd in the same category at 56.7% (36 months) and 34.3% (60 months). While Tesla’s fleet of vehicles are high-value luxury cars, their ability to retain a large portion of their original selling price as used cars is yet another data point driving their desired position in the consumer market.

The recognition given by the long-trusted consumer automotive resource in its announcement of the award spoke highly of the vehicle’s appeal to buyers, something which played a role in its valuation: “The Tesla Model 3 has a cultural magic and desirability about it that made people willing to wait months and even years to own one. People don’t like Tesla Model 3s — they crave them,” noted KBB in a tweet. This sentiment from KBB as a 92-year veteran in car assessments, of course, adds yet another confirmation of something many Tesla owners and reservation holders already assumed to be true.

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Thanks to Tesla’s customer-driven design and development process, features such as class-leading range, a vast Supercharging network, over-the-air software updates, great-looking design, and overall technology serving convenient, practical, and entertainment purposes, the company’s two newest vehicles are handily standing out against competitors. In KBB’s overview page detailing the Model 3’s category win, more praise along these lines was offered: “For those who can afford it, the smallest Tesla offers usability, joyful road manners, and an intriguing glimpse of a gasoline-free future.” The vehicle’s 5-star safety rating from the National Highway Traffic and Safety Administration (NHTSA) in every category was also noted as a driving price point in a general overview page about the Model 3.

Tesla’s Model 3 has been won Kelley Blue Book’s 2019 Best Resale Value Award in the Electric Vehicle Category. | Credit: Tesla

The annual KBB Best Resale Value Awards compares a variety of vehicle resale metrics over 36 and 60 month time frames and then sorts them into three categories: Best Brand/Luxury Brand (evaluating makers’ overall portfolio), Overall Top Ten Winners (best resale values in all categories), and Category Winners (24 categories covering every class, shape, and price). According to the KBB website detailing the award, the values are calculated based on several factors including vehicle specification and trim levels, sales data, market data, and segment competition, among others. While the general system is meant to provide a fair comparison, certain numbers are worth considering more broadly for a fuller picture of Tesla’s Model 3 and Model X in the market.

Given the chance to compete in categories that would fit outside of an electric vehicle-only comparison, the Model 3 would beat every other sedan by a large margin at the 36-month mark. The Best Mid-Size Car, Subaru Legacy, was given a 51.8% resale value at 36 months and 38.4% at 60 months. As Best Luxury Car, the Audi A7 came in at 47.3% and 32.3%, respectively. Compared to the gasoline-powered winner, Chevy Tahoe, in the Best Full-Size SUV category at 55% and 43%, the Model X would have prevailed at 56.7% and 34.3%.

Perhaps as more legacy auto manufacturers come over to the all-electric side, the categories will become more agnostic about vehicle power sources for awards.

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

SpaceX announces new Starship 13 test flight target date

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SpaceX Starship V3 flight 12
SpaceX Starship V3 flight 12 (Credit: SpaceX)

SpaceX has announced a new target date for the thirteenth test flight of Starship: Monday, July 20, with the launch window opening at 6:45 p.m ET/5:45 p.m. CT.

This is the first rescheduling attempt of Starship’s 13th test flight. It was set to launch last night, but SpaceX scrubbed the launch attempt.

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CEO Elon Musk revealed that some of the engines on Starship did not start, which automatically triggers a launch abort. Two of the Raptor engines will be removed and replaced.

SpaceX officially announced the new launch window this morning.

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Starship’s 13th test launch comes with a few new objectives, but SpaceX does not plan to attempt a catch of the booster, which it has done several times in the past.

For Starship’s Upper Stage, there are some adjustments to ensure engine reusability that will be assessed during the ascent, and 20 operational Starlink V3 satellites are also set to make their way into space. SpaceX also plans to attempt an in-space relight of a single Raptor engine, which is a critical demonstration for future orbital deorbit, refueling, and deep space maneuvers.

Ultimately, it will splash down in the Indian Ocean.

The continuous tests help SpaceX advance the Starship program toward eventual full reusability, operational Starlink V3 deployment, and future missions, which include NASA’s Artemis program.

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SpaceX Starship Flight 13 aborted at Zero and Musk just told us what broke

Four Raptor engines failed to ignite at T-zero, forcing SpaceX to scrub Starship Flight 13 Thursday.

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SpaceX scrubbed the Starship Flight 13 launch attempt Thursday evening at the last possible moment, after four of the Super Heavy booster’s 33 Raptor 3 engines failed to ignite during the startup sequence. The 90-minute window had opened at 6:45 p.m. EDT from Starbase in Boca Chica, Texas, and the countdown had proceeded without issue all day, with more than 11.5 million pounds of liquid methane and liquid oxygen being fully loaded into the rocket before the automated abort triggered. SpaceX’s launch directors posted on X, “Standing down from today’s flight test attempt,” and shut down the livestream shortly after.

Musk confirmed the root cause within hours. “Some of the engines didn’t start, triggering an automatic launch abort,” he wrote on X. “To be confident of a good flight, 2 Raptors will be removed and replaced. Most probable launch timing is early next week.” SpaceX engineers began draining propellant tanks immediately and Booster 20 was rolled back to its hangar for inspection.

SpaceX comes with a slew of changes for Starship Flight 13

 

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The timing adds a layer of significance that did not exist during any of the previous 12 Starship flights. This is the first time SpaceX has attempted to launch Starship since the company made its stock market debut in June, listing under ticker SPCX at $135 per share. Public investors are now watching every Starship outcome in real time, and a last-second abort carries more visibility than it would have six months ago.

Flight 13 was designed to be one of the most consequential tests in the program’s history. It was set to carry 20 Starlink V3 satellites, the first operational payload Starship has ever attempted to deploy. Six of those satellites carried external cameras to photograph Starship’s heat shield from the outside during flight, which would act as a self-inspection approach SpaceX has never attempted before. The mission also needed to complete a Raptor engine relight in space, a step SpaceX skipped on Flight 12 in May after losing an engine during ascent. That Flight 12 booster also flipped 90 degrees off course during its boostback burn when five engines failed to reignite.

SpaceX has not announced an official next launch date. Musk’s “early next week” window points to July 21 or 22 at the earliest, pending the engine swap and a return to the pad.

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Elon Musk secretly acquires $1B energy company to power the AI future

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

Elon Musk flew under the radar with his recent purchase of a $1 billion energy company, according to Federal Trade Commission (FTC) documents.

Transaction number 202612350 listed Tesla and SpaceX frontman Elon Musk as the acquiring party and CF APR Super Holdings LLC as the seller, with New APR Energy, LLC as the acquired entity. The deal, which closed without public announcement, came to light on May 14.

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Analysts inferred the deal’s scale from minority stakeholder disclosures, including one report of a 5 percent interest sold for approximately $50.4 million. Fortress Investment Group had purchased APR’s assets in late 2024, rebranded the operation as New APR Energy, and subsequently transferred ownership to Musk.

APR Energy specializes in rapidly deployable power infrastructure. The company maintains one of the world’s largest fleets of mobile gas and diesel turbines, with more than 1.1 gigawatts of generation capacity. Its modular units, which are often trailer-mounted, enable turnkey installations ranging from 20 MW to over 500 MW.

Elon Musk admits he was ‘clearly wrong’ about Anthropic

APR provides full engineering, procurement, construction, operation, and maintenance services for behind-the-meter power plants, serving everything from data centers, utilities, and industrial clients.

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The firm has expanded aggressively to meet surging demand, recently adding turbines and deploying over 100 MW for a major AI hyperscaler. Its solutions bridge critical gaps where grid interconnections face delays of two to five years, according to Yahoo.

The acquisition means something more for Musk. As he continues to expand projects in artificial intelligence, especially xAI, his AI venture, there is a greater need to supply energy-intensive supercomputing clusters, including the Colossus project, with what they need: reliable and high-capacity power.

Ownership of APR provides immediate access to flexible generation assets that can be deployed adjacent to data centers, reducing dependence on a strained infrastructure. It also complements Tesla’s energy storage business, so Musk will be able to pull from his own entities to address the rapid scaling demands of AI training and compute.

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