1. Investment Snapshot
2. Thesis
3. Valuation & Price Target
4. Business & Product Moat
5. People & Governance
6. Market & Macro
7. Financial Quality
8. Risk Register
9. Prediction Market
10. 𝕏 Posts
Discussion
1. Investment Snapshot
2. Thesis
3. Valuation & Price Target
4. Business & Product Moat
5. People & Governance
6. Market & Macro
7. Financial Quality
8. Risk Register
9. Prediction Market
10. 𝕏 Posts
Discussion
1. Investment Snapshot
2. Capital Structure
3. What does Bending Spoons S.p.A. do?
4. Valuation
5. Business & Product Moat
6. People & Governance
7. Financial Quality
8. 𝕏 Posts
Discussion
Symbol
BSP
Event Date
2026-07-01
Sector
Information Technology
Subsector
IT Services
Offer Range
$29.00
Shares Offered
57.97M
Shares Outstanding Pre-IPO
673.54M
998.52M
$8.8B
5.8%
Implied Upside vs Midpoint
Description
Bending Spoons is built on the conviction that operational excellence enables efficient growth through acquisitions. We acquire digital businesses, implement deep transformations and ongoing optimizations to sustainably expand earnings, and reinvest in additional acquisitions, thereby continuing the compounding cycle. We have executed this Playbook for more than a decade and, to date, have not sold a material business. Our performance is driven by our Platform — comprising our people, proprietary technologies, and proprietary data — and reflects our intense focus on achieving exceptional talent density, cultural strength, and technical capabilities. Below, we describe our three-step Playbook in greater detail: • Step 1 — Acquire. We acquire a business whose core products are digital. We prioritize businesses that we believe we can improve significantly, that have large revenue bases, and whose trajectories we can forecast with reasonable confidence several years into the future, a process that involves factoring in the risk of disruption from advances in AI. Our evaluation is analytical and rigorous, and we are disciplined on price. • Step 2 — Transform and optimize. We strive to envision the most successful version of the acquired business, and work to close the gap between its current state and that vision as quickly and completely as possible. The transformation is typically deep and entails reorganizing teams, overhauling technology, redesigning user interfaces, accelerating product development, and enhancing marketing and monetization. AI is often both a central component of our vision for the acquired business and a key tool in implementing the transformation. Through these efforts, we seek to increase revenue and reduce costs to drive a sustainable expansion in earnings. We then optimize the business as part of our broader portfolio on an ongoing basis. • Step 3 — Reinvest. We reinvest our earnings, along with contributions from newly acquired and improved businesses and prudent levels of incremental debt, to fund additional acquisitions, thereby continuing the compounding cycle. We may also opportunistically raise incremental equity to accelerate growth. Our people, proprietary technologies, and proprietary data constitute the Platform that supports our acquisitions, transformations, and ongoing optimizations. We have been building this Platform since our founding in 2013 and consider it our primary source of competitive advantage, one that we believe will continue to strengthen as we grow. • People. We have a talent-dense team of Spooners(1) who embrace a culture emphasizing truth-seeking and extreme ownership — traits we consider critical drivers of business performance. In 2025, we received around 800,000 job applications to become a Spooner and, consistent with our focus on talent density, hired 286 individuals, representing less than 0.04% of applications received. We allocate Spooners flexibly across our portfolio, deploying resources to areas of opportunity and reducing them where appropriate. For example, we may assemble a task force to transform a newly acquired business, expand an engineering team to accelerate a product initiative, or scale back an organization by redeploying Spooners once a period of intensive change has concluded. • Proprietary technologies. We have engineered, and continue to refine, numerous technologies that enable us to do more and better work with fewer resources. Examples include a data infrastructure, a user lifetime value predictor, and a product experimentation toolkit. Our technologies are purpose-built for our needs and are integrated with one another, making their deployment across acquired businesses easier and allowing them to deliver superior impact, more rapidly. As a result, most of our businesses adopt nearly all of our proprietary technologies. We began embedding AI within our proprietary technologies in 2019 and continue to expand its use. As we harness AI’s advances, we expect our proprietary technologies to become more effective in supporting the execution of our Playbook. • Proprietary data. Across more than 50 acquisitions and subsequent operations, we have accumulated extensive data. Sources include our product experimentation toolkit (3,000 experiments run in 2025) and our data infrastructure (3.8 billion data points processed per day on average in Q1 2026). This data supports faster and more informed decision-making in both acquisitions and operations. As AI advances and our ability to leverage complex data at scale improves, the value of our data may increase. Since our founding, we have endeavored to be at the cutting edge of relevant technology. AI is no exception: For years, we have been leveraging it to enhance products, optimize marketing and monetization, and improve productivity. Many of our proprietary technologies incorporate AI. Our team of Spooners includes hundreds of talented and motivated software engineers, data scientists, and AI research engineers. We estimate that the share of pull requests(2) authored or coauthored by AI increased from less than 10% in Q1 2025 to more than 90% by the end of Q1 2026, with around 70% authored by AI alone. Revenue per full-time equivalent Spooner(3) was $1.12 million in 2023, $1.64 million in 2024, $2.57 million in 2025, and $0.97 million in Q1 2026, with AI being one of the catalysts of productivity gains. In our view, AI is the most transformative technology of our time, and companies that adapt effectively may realize enormous benefits. Supported by our Platform, Bending Spoons has an opportunity to be among these companies. We believe that, through progress in AI, we will expand our advantage in product development, marketing, and monetization capabilities. We also believe our productivity advantage will widen and the scalability of our acquisition and transformation model will improve. Finally, as many companies lack diversification and may not be well equipped to leverage AI, certain owners’ willingness to sell could increase, contributing to lower valuation levels and more attractive acquisition targets. The Platform-powered execution of our Playbook has delivered financial performance we regard as strong. Revenue reached $1.31 billion in 2025, with a compounded annual growth rate of 84% in 2023 through 2025. In the same year, operating income as a percentage of revenue was 21% and Adjusted Operating Income Margin was 47%. In 2023 through 2025, the compounded annual growth rate was not meaningful for diluted earnings (loss) per share and was 82% for Adjusted Earnings per Share. --- We are still early in our journey. We see a significant opportunity to continue compounding capital at attractive rates of return within an addressable market that we estimate includes more than 1,000 businesses generating nearly $400 billion in aggregate revenue in 2025. (1) We define “Spooners” as team members who have successfully completed the rigorous and selective application process to join our core team. Spooners are allocated flexibly across the organization and may be transferred between businesses on short notice. They are held to particularly demanding performance standards. (2) A “pull request” is a formal proposal to add, modify, or remove code in a shared software repository. It allows other contributors to review, discuss, and approve the proposed changes before they are merged into the repository. (3) “Revenue per full-time equivalent Spooner” for a given quarter is defined as the revenue for that quarter divided by the number of full-time equivalent Spooners at the end of the quarter. “Revenue per full-time equivalent Spooner” for a given twelve-month period is defined as the revenue for that period divided by the average number of full-time equivalent Spooners at the end of each quarter within that period. --- Bending Spoons ApS was founded in 2013 in Copenhagen, Denmark. We relocated our headquarters to Milan, Italy, through a multi-step cross-border merger, pursuant to which Bending Spoons S.r.l., an Italian limited liability company (società a responsabilità limitata), became the surviving entity in 2015. In 2017, Bending Spoons S.r.l. was transformed into Bending Spoons S.p.A., an Italian joint stock company (società per azioni). The company’s duration currently ends on December 31, 2100, and a shareholder meeting may extend this term. Bending Spoons S.p.A. is primarily a holding company, as our operations are conducted mainly through our subsidiaries. --- Our principal executive office is located at Via Nino Bonnet 10, 20154 Milan, Italy. The telephone number at this address is +39 02 81284093. Our website address is www.bendingspoons.com. Our agent for service of process in the U.S. is Bending Spoons US Inc.
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Revenue grew from $387M in 2023 to $1.31B projected for 2025 (+95 YoY in 2025)○
Serves 500M monthly active users and 9M paying customers as of March 2026○
Uses proprietary 'Playbook' to transform acquired assets and reinvest earningsPost-IPO economic shares by class, valued at the offer midpoint.
| Class | Shares | % Economic | Est. value |
|---|---|---|---|
Class A shares (see prospectus) | 310.24M | 31.1% | $9.0B |
Ordinary shares (post-Share Conversion) (listed) (ordinary shares: public trading class) | 324.98M | 32.5% | $9.4B |
Class B shares subject to Share Conversion (see Note 10) | 31.57M | 3.2% | $915.5M |
Class C shares subject to Share Conversion | 160.07M | 16.0% | $4.6B |
Class X-1 shares subject to Share Conversion | 75.88M | 7.6% | $2.2B |
Class X-2 shares subject to Share Conversion | 29.13M | 2.9% | $844.8M |
Class X-3 shares subject to Share Conversion | 66.65M | 6.7% | $1.9B |
| Total economic shares | 998.52M | 100% | $29.0B |
Company Overview & Business Model
Financial Highlights (per prospectus filings) Note: amounts are as reported in the filing (USD, thousands). When I reference growth rates I state the comparison window.
Annual (calendar years)
Quarterly (most recent quarter in filing)
Key financial takeaways
Underwriter Quality
Analyst Verdict — single-sentence falsifiable thesis
Five pillars
On the numbers presented, the deal is being framed at an ~11.9x Price/Revenue multiple (vs roll-ups typically ~4–6x), so the market is paying for the playbook and growth rate while demanding proof that higher leverage won’t cap equity returns. The valuation case is therefore binary: sustained post-deal growth plus visible deleveraging can support the premium; any slowdown or additional debt-funded M&A without clear accretion likely compresses the multiple.
Near term: Pricing and initial trading will be driven by how institutions size the leverage risk versus the growth narrative.
Revenue scaled rapidly through 2025 and into Q1 2026, with operating income staying positive, but the earnings bridge is dominated by interest expense. The core question for the next year is whether operating expansion translates into free cash flow and lower leverage rather than simply funding the next acquisition.
Founder-led execution is a strength for speed and consistency, but it concentrates key-person and decision risk in an acquisition-heavy model. Leverage and refinancing sensitivity are the practical governance issues investors will track, alongside integration discipline and post-acquisition accounting outcomes.
(price per share; explicit and falsifiable)
Variant Perception — what the market is likely mispricing
Clear stance
Risks highlighted for investors (summary)
Immediate due diligence checklist (items to confirm in final prospectus and after pricing)
Bottom line: BSP has scaled revenue quickly and kept operating income positive, but the investment case hinges on whether it can convert that scale into lower leverage and lower interest drag while maintaining an accretive acquisition cadence.
+
High revenue growth driven primarily through acquisitions plus improving organic growth (~13% in 2025)+
Large pipeline (~1,000+ targets) supporting continued acquisition-fueled compounding growth○
Operating profitability with expanding gross margins (~66%-68%), but net income pressured by rising interest expense○
AI and proprietary platform central to scalable margin improvement across acquired assets○
Forward P/Revenue multiple of ~11.9x○
Valuation is a premium vs traditional roll-ups (~4-6x revenue)○
Valuation is a discount to pure-play SaaS comps+
Experienced CTO leading AI-driven tech platform development−
Board includes independent directors providing governance oversight, but limited public detail○
Luca Ferrari, co-founder and CEO, with tech and consulting background, key execution driver○
Francesco Patarnello, co-founder and head of M&A, crucial for deal sourcing and integration quality○
Dual CFO approach provides depth during rapid acquisitions and financing phases+
Operating income growth outpaces revenue growth, but net income compressed by soaring interest expense+
Strong cash position ($740M+ in Q1 2026) cushions liquidity amid rising leverage○
Revenue doubled to $1.31B in 2025 from $671M in 2024, with Q1 2026 revenue of $601M (+132 YoY)○
Gross margins improving to ~66-68%, reflecting scale and operational improvements○
Total debt increased to over $4B by Q1 2026, driven by acquisition financingPosts focus on the company’s AI-driven roll-up strategy and track record of revitalizing acquired digital assets, arguing it can keep compounding through M&A.
AI per-post analysis: 1 positive, 0 negative, 0 neutral (engagement-weighted aggregate).