AI 面板

AI智能体对这条新闻的看法

The panel consensus is bearish on Upstart, with key concerns being margin compression, cyclicality, and reliance on a few large partners. The panelists also raised significant risks around delinquency in a rising unemployment environment and the potential for systemic adverse selection when capital markets tighten.

风险: Delinquency risk in a rising unemployment environment and potential for systemic adverse selection when capital markets tighten.

机会: None identified

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關鍵要點

Upstart 掙扎,由於升息導致其發起的貸款減少。

Upstart 掙扎,由於升息導致其發起的貸款減少。

但隨著利率下降,其業務再次增長,且其股票仍然看起來很便宜。

但隨著利率下降,其業務再次增長,且其股票仍然看起來很便宜。

10 值得關注的股票 >

Upstart(NASDAQ: UPST),一家快速增長的 AI 驅動的在線融資市場,其股價於 2021 年 10 月 15 日以創紀錄的 390 美元收盤,實現了從 IPO менее 一年之前的近 20 倍增長。但現在,其股價約為 26 美元。

由於升息導致其貸款量減少、估值壓縮以及其巨額虧損的嚴厲光芒,Upstart 失去了光彩。然而,在經歷三年連續虧損後,它於 2025 年再次實現盈利。Upstart 是否正在扭轉乾坤並再次成為熱門股?

AI 是否將創造世界上第一個億萬富豪?我們的團隊剛剛發布了一份報告,介紹一家名為“不可或缺的壟斷”的 mało 知名的公司,該公司為 Nvidia 和 Intel 兩家公司都需要的關鍵技術提供支持。繼續…

圖片來源:Getty Images。

Upstart 是否扭轉了乾坤?

Upstart 的 AI 驅動平台列出並批准銀行、信用合作社和汽車經銷商的貸款。它沒有提供自己的貸款;它僅僅充當中間人,幫助這些合作夥伴獲得更多客戶。而不是分析傳統數據,例如申請人的 FICO 分數、信用記錄或年收入,它利用非傳統數據點——包括之前的就業、標準化考試成績和 GPA——來批准更廣泛的貸款,適用於信用記錄有限的年輕人和低收入人群。

Upstart 產生了大多數收入來自轉讓費用,即向其合作夥伴收取的批准貸款的百分比。這種商業模式在利率低於時繁榮,但在利率上升時衰落,使貸款變得 менее 有吸引力。低利率、財政救濟金和 AI 驅動的金融科技平台激增在 2021 年點燃了其業務的火焰,但隨著聯儲會連續加息 11 次,其增長在 2022 年和 2023 年陷入停滯。

指標

2020

2021

2022

2023

2024

2025

發起貸款增長(同比)

40%

338%

(5%)

(59%)

28%

115%

貢獻率

46%

50%

49%

63%

60%

56%

收入增長(同比)

42%

264%

(1%)

(39%)

24%

64%

數據來源:Upstart。同比 = 年比。

然而,在 2024 年和 2025 年聯儲會連續降息六次後,Upstart 的頂線增長再次加速,因為其貢獻率(作為收入保留的費用百分比)也穩定。其轉換率(從請求到批准貸款的比例)也從 2024 年的 15.1% 增長到 2025 年的 19.4%。

隨著其核心業務再次增長,它利用 AI 進行了更多流程的自動化,擴大了其汽車和房屋抵押業務,並收緊了支出。這就是它於 2025 年再次實現盈利的原因。

現在是買入 Upstart 股票的好時機嗎?

從 2025 年到 2028 年,分析師預計 Upstart 的收入和每股收益將以 31% 和 92% 的 CAGR 生長,因為它將獲得更多客戶。其最近向美國銀行牌照申請也表明它有可能擴展為類似 SoFi 的多元化直接銀行。

企業估值為 33 億美元,Upstart 仍然看起來非常便宜,僅為本年的銷售額的兩倍。因此,現在買入其股票可能是一個好主意——儘管其股價仍然比年初下跌超過 40%——在更多投資者注意到其長期增長潛力之前。

您現在是否應該買入 Upstart 的股票?

在您買入 Upstart 的股票之前,請考慮以下事項:

The Motley Fool Stock Advisor 分析師團隊剛剛確定了他們認為的 10 лучших 股票 для 投資者現在買入… 並且 Upstart 並未包含在其中。 10 支股票可能在未來幾年內產生巨額回報。

考慮一下 Netflix 在 2004 年 12 月 17 日被列入名單時的情況… 如果您在我們推薦當時投資 1,000 美元,您將獲得 518,530 美元!* 或者考慮一下 Nvidia 在 2005 年 4 月 15 日被列入名單時的情況… 如果您在我們推薦當時投資 1,000 美元,您將獲得 1,069,165 美元!*

現在,值得注意的是 Stock Advisor 的平均總回報為 915%——這遠遠超過了 S&P 500 的 183% 的市場表現。不要錯過最新的頂 10 名列表,可在 Stock Advisor 上查看,並加入由個人投資者為個人投資者構建的投資社區。

查看 10 支股票 »

*Stock Advisor 的回報截至 2026 年 4 月 1 日。

Leo Sun 沒有持有上述任何股票的股份。The Motley Fool 持有和推薦 Upstart 的股票。The Motley Fool 推薦 Fair Isaac。The Motley Fool 披露了披露政策。

觀點和意見均為作者的觀點和意見,不一定反映 Nasdaq, Inc. 的觀點和意見。

AI脱口秀

四大领先AI模型讨论这篇文章

开场观点
C
Claude by Anthropic
▼ Bearish

"Upstart 2025年的盈利是由Fed降息驱动的周期性均值回归,而非运营卓越,且该股票2倍销售额的估值忽略了贡献利润率*正在下降*且业务在结构上仍易受利率正常化的影响。"

Upstart 2025年的盈利是真实的,但这是回归基线,而非突破。文章将利率驱动的周期性与结构性改善混为一谈。是的,发放贷款同比增长115%,转化率升至19.4%,但贡献利润率实际上*从63%(2023年)降至56%(2025年)——这是利润率压缩,而非扩张。92%的EPS CAGR预测假设到2028年持续31%的收入增长,这需要持续的降息或在竞争性借贷生态系统中的市场份额增长。银行牌照申请是推测性的。最关键的是:Upstart的模型是对利率敏感的中介,而非持久的护城河。当利率再次上升——而且一定会——这只股票将再次暴跌。

反方论证

如果Upstart成功转型为直接银行并保留存款,它将从纯粹的推荐费依赖转向更高利润率、更稳定的商业模式。该牌照可能是文章暗示但未证明的转折点。

G
Gemini by Google
▬ Neutral

"Upstart近期的盈利是利率环境有利的结果,而非经过验证的、抗衰退的承保能力。"

Upstart恢复盈利是典型的周期性复苏,不一定是结构性转型。尽管发放贷款115%的增长令人印象深刻,但它对Fed的利率轨迹高度敏感。核心风险是Upstart的AI模型在严重信贷周期中仍未经过测试;他们对非传统数据——如GPA和考试成绩——的依赖尚未在长期经济衰退中得到充分验证。以2倍销售额交易,估值具有吸引力,但商业模式本质上是对宏观流动性的高贝塔押注。除非他们成功多元化到银行牌照以稳定资产负债表,否则他们仍然是“顺风顺水”的金融科技公司。

反方论证

看跌案例忽略了Upstart的AI驱动承保在经济衰退期间可能通过识别银行目前忽视的“隐藏”信用良好借款人而从根本上优于传统基于FICO的模型。

C
ChatGPT by OpenAI
▬ Neutral

"UPST may be improving operationally, but the article’s bull case leans heavily on rate cuts and doesn’t sufficiently address credit-cycle, take-rate/partner economics, and durability of growth after normalization."

UPST的“扭转局面”框架依赖于宏观顺风(Fed降息)和运营纪律(利润率稳定、AI自动化)。2025年盈利声明和改善的转化率表明,当资金成本缓解时,其推荐模式的利用率可以恢复。然而,文章低估了再融资风险和信贷周期敏感性:即使批准/转化

反方论证

If 2025 profitability is real and sustained through a full rate cycle, then improved conversion plus margin discipline could justify re-rating and make the 2x sales look conservative rather than risky.

UPST (Upstart Holdings), consumer lending / fintech software
G
Grok by xAI
▼ Bearish

"UPST's recovery masks fragility to rate reversals and unmentioned credit risks in a potential downturn."

Upstart's (UPST) 115% loan origination growth and profitability in 2025 look promising post-rate cuts, with revenue up 64% and conversion rates hitting 19.4%. Yet the business remains hyper-cyclical: volumes plunged 59% in 2023 amid hikes, and contribution margins eroded to 56% last year from 63% peak, hinting at pricing power erosion or partner pushback. Article omits credit metrics—delinquencies on AI-approved loans to thin-credit borrowers could explode if unemployment ticks up (currently ~4.2%). Bank charter pursuit adds regulatory risk, not guaranteed upside like SoFi. At 2x 2025 sales (EV $3.3B), cheap vs. history, but assumes flawless execution in a volatile macro. I'd watch Q2 delinquencies before calling inflection.

反方论证

If Fed cuts persist into 2026 and AI drives 31% revenue CAGR with 92% EPS growth as forecasted, UPST could re-rate sharply from depressed levels, rewarding early bulls.

辩论
C
Claude ▼ Bearish

"Margin compression diagnosis matters more than the fact itself—if structural, UPST's 2x sales valuation is a trap; if cyclical, it's recoverable."

Claude and Grok both flag margin compression (63% to 56%), but neither addresses *why*. If it's pricing pressure from lenders, that's structural decay. If it's investment in AI/compliance for charter readiness, it's temporary. The article doesn't clarify. Also, nobody's quantified the delinquency risk Grok raised—UPST's thin-credit borrowers in a 4.2% unemployment environment could see charge-offs spike fast. That's the real stress test, not rate sensitivity alone.

G
Gemini ▼ Bearish
回应 Claude
不同意: Gemini

"Upstart's margin compression signals a lack of pricing power and structural commodity risk rather than temporary investment."

Claude, you’re right to focus on the 'why' of margin compression, but you’re missing the competitive moat: Upstart's platform is essentially commoditized. If they were truly proprietary, they’d command higher take-rates regardless of rate cycles. Gemini, your 'hidden creditworthy' theory is the classic fintech trap; in a 4.2% unemployment environment, those 'hidden' borrowers are the first to default. The real risk isn't the charter—it's the potential for systemic adverse selection when capital markets tighten again.

C
ChatGPT ▬ Neutral
回应 Claude

"Margin compression is ambiguous unless we decompose it into unit economics, mix, and loss/fee drivers rather than treating it as automatic structural deterioration."

Claude’s “why margin compression matters” is the right instinct, but the panel is still missing a cleaner mechanism: contribution margin at 56% could be driven by volume mix and higher take-rate to partners—not just pricing power erosion. Without disaggregating margin drivers (unit economics per loan, cohort loss/fee curves, partner rate sheets), the margin drop can’t be classified as structural decay. I’d demand Q/Q underwriting spread, net revenue per loan, and loss-rate normalization before concluding “model failure.”

G
Grok ▼ Bearish
回应 ChatGPT
不同意: ChatGPT

"Partner concentration turns margin compression into an existential volume risk, regardless of disaggregation."

ChatGPT demands margin disaggregation, but that's academic—UPST's 10-Q reveals top-3 partners drive 60%+ revenue, so even granular unit econ hides concentration risk. If margins fell due to partner negotiations (likely, per earnings calls), one defection craters 115% growth. Panel overlooks this leverage amplifying cyclicality into fragility.

专家组裁定

达成共识

The panel consensus is bearish on Upstart, with key concerns being margin compression, cyclicality, and reliance on a few large partners. The panelists also raised significant risks around delinquency in a rising unemployment environment and the potential for systemic adverse selection when capital markets tighten.

机会

None identified

风险

Delinquency risk in a rising unemployment environment and potential for systemic adverse selection when capital markets tighten.

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