Meta priced $3.25 billion of 5.850% notes due November 2031 at a 5.850% yield on 3 November, 110 basis points over Treasuries, according to its pricing term sheet filed with the SEC. Three days later, CoreWeave’s 9.75% notes due October 2031 traded at a 16.33% yield on FINRA’s TRACE data.
For notes maturing in the same year, that is a gap of about 10.5 percentage points, by our arithmetic. The two figures measure different things: Meta’s is the yield at which it sold new notes, CoreWeave’s is a market yield on notes already trading.
Business Pill · Financial Conditions
A short explainer on financial conditions and credit spreads. It teaches the general idea only and does not discuss these companies.
The key insight:Meta sold 2031 notes at a 5.850% yield on 3 November, 110 basis points over Treasuries, while CoreWeave’s 2031 notes traded at 16.33% three days later: a gap of about 10.5 percentage points for the same maturity year, by our arithmetic.
Meta sold $15 billion of dollar notes in five series on 3 November, with coupons from 5.850% on the 2031 notes to 7.500% on the 2056 notes, according to its pricing term sheet. The term sheet lists ratings of Aa3 from Moody’s and AA- from S&P.
CoreWeave’s 2031 notes, by contrast, last traded at a 16.33% yield on 6 November, about 11.7 percentage points above the 5-year Treasury par yield of 4.59%. CNBC reported that CoreWeave’s five-year credit default swaps “spiked above 1,289 basis points on Thursday” before easing to around 1,155.
Treasury benchmark yield (grey) to bond yield (colour). Meta figures from its 3 November 2026 pricing term sheet (new issue); CoreWeave’s 2031 notes from FINRA TRACE on 6 November 2026 against the 5-year Treasury par yield (secondary market). The two kinds of yield are not like-for-like.
The Spread, Side by Side
Measured over Treasuries, Meta’s 2031 notes priced 110 basis points over the 4.750% Treasury due October 2031. CoreWeave’s 2031 notes traded about 1,174 basis points over the 5-year par yield. On those two figures, CoreWeave’s spread is about 10.7 times Meta’s, by our arithmetic.
Meta’s longest notes, the 2056s, yielded 7.531%, 220 basis points over Treasuries. Even that is about 8.8 percentage points below the CoreWeave 2031 yield, by our arithmetic.
In Asia, 13 of the 14 SoftBank Group dollar note lines that traded on 4 or 5 November printed below par on TRACE, by our count, including the 7.25% notes due July 2032 at 91.721. Bloomberg’s headline read “SoftBank Leads Asia Bond Losses as AI Rout Spreads to Credit”.
From This Week’s Issue
This angle is from this week’s AI Supercycle issue, The Great Convergence of Capital, Power, and Geopolitics, which sets these credit prints next to each other. The figures above come from the filings and reports named here.
The Structural Read
As we read the term sheet and the TRACE print together, the market is pricing the same five-year horizon very differently for two AI borrowers: about 110 basis points over Treasuries for Meta and about 1,174 for CoreWeave, a spread about 10.7 times wider, by our arithmetic.
As we read the order books, reported demand was a multiple of the size sold in both currencies: as much as $58 billion of orders for $15 billion of dollar notes, as Wall St Engine reported, and a euro book of about 5.9 times the amount sold, by our arithmetic.
As we read the other prints, SpaceX and SoftBank sit on different measures, a lease rate, a swap spread and bond prices below par, so they give context rather than a ranking.
CNBC, 6 November, on CoreWeave credit default swaps
“spiked above 1,289 basis points on Thursday”
Three Implications
FOR BORROWERSMeta’s 2031 notes priced at 110 basis points over Treasuries, according to its term sheet; CoreWeave’s 2031 notes traded at 16.33% on TRACE.
FOR LENDERS A Bloomberg headline put demand for Meta’s dollar leg at $58 billion, and Bloomberg reported a record €53 billion euro book.
FOR THE COMPARISON The two yields are a new-issue yield and a secondary-market yield on different dates, so the gap is not a like-for-like borrowing cost.
The analysis says: “It is a sovereign-scale financing problem dressed in tech-company clothing — and the financial architecture is starting to invert.”
As we read it, these two 2031 bonds sit on the financing side of that map: one borrower priced near Treasuries, the other far above them. The analysis does not discuss these notes.
What Is Not Established
The comparison sets a new-issue yield against a secondary-market yield, on different dates, for borrowers with different ratings and structures; it is not a like-for-like cost of borrowing. The order figures are as reported, not filed. We make no claim about why either yield is where it is.
This Week In The AI Supercycle
The Great Convergence of Capital, Power, and Geopolitics
This week’s issue: for two years the AI build-out was priced as a supply story, and last week as a credit story. This week it was priced as a permission story, and the answer arrived as a cost, not a ban.
Meta sold 2031 notes at a 5.850% yield on 3 November, 110 basis points over Treasuries, on a reported book of about 3.9 times; CoreWeave’s 2031 notes traded at 16.33% three days later. For the same maturity year that is a gap of about 10.5 percentage points, and a spread about 10.7 times wider, by our arithmetic.
A note on sourcing. Meta figures are from its pricing term sheet filed with the SEC on 3 November 2026. CoreWeave and SoftBank bond prints are FINRA TRACE data as reported in our linked pieces. Order books, the SpaceX lease rates and the SpaceX swap spread are attributed to the outlets named. The yield gaps, spread ratio and cover ratios are our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
