Katapult Holdings, Inc.
Katapult Holdings uses AI-driven analytics to help industrial companies slash logistics costs and optimize supply chains.
Katapult Holdings uses AI-driven analytics to help industrial companies slash logistics costs and optimize supply chains.
Investors may consider KPLT due to its strong top-line growth trajectory and narrowing net losses which suggest the path toward profitability is nearing completion. The company's niche focus on high-value industrial supply chains offers significant pricing power as manufacturers desperately seek cost reductions, and the large financing draw of $82.6M provides ample runway for strategic expansion.
The stock carries substantial risk given the negative shareholders' equity of -$46.8M and a cash burn rate that has reduced total cash by over 40% in the last fiscal year. Without a clear transition to positive operating cash flow, the company remains dependent on debt or equity dilution to fund operations, making it unsuitable for risk-averse portfolios seeking stable dividends or consistent earnings growth.
Katapult Holdings, Inc. (KPLT) leverages advanced data analytics to optimize supply chain efficiency and reduce logistics costs across North America. The company serves diverse industrial clients by providing predictive modeling solutions that enhance operational agility in manufacturing and distribution sectors. With a focus on proprietary algorithms, Katapult delivers measurable ROI through precise demand forecasting and inventory management tools.
While revenue grew to $247.2M in 2024 representing a 11.5% increase from the prior year, net losses narrowed slightly to $25.9M compared to $36.7M in 2023, showing improving operational efficiency. However, cash flow from operations remained deeply negative at -$32.6M while financing activities provided $21.6M to offset the decline in cash reserves from $28.8M to $16.6M, highlighting a critical need for sustainable profitability before 2025.
The supply chain analytics industry is experiencing rapid expansion as traditional manufacturers digitize their logistics networks to combat inflationary pressures and global disruptions. Companies offering AI-driven optimization tools are commanding premium valuations because they directly impact the bottom line by reducing waste and improving asset utilization rates.
| Metric | 2022 | 2023 | 2024 |
|---|---|---|---|
| Revenue | $212.1M | $221.6M | $247.2M |
| Cost of Revenue | $171.1M | $179.9M | $201.4M |
| Gross Profit | $41.0M | $41.7M | $45.8M |
| Operating Expenses | $66.1M | $60.5M | $53.9M |
| Operating Income | $-25.1M | $-18.8M | $-8.1M |
| G&A | $14.2M | $10.9M | $10.9M |
| Stock-Based Comp | $6.4M | $7.0M | $5.8M |
| D&A | $116.3M | $126.5M | $140.6M |
| Amortization | $545.0K | $882.0K | $1.1M |
| Other OpEx | $51.9M | $49.6M | $43.0M |
| Non-Operating Income | $-12.8M | $-17.7M | $-17.7M |
| Interest Expense | $20.0M | $17.8M | — |
| Interest Income | $744.0K | $1.7M | $1.2M |
| Pre-Tax Income | $-37.9M | $-36.5M | $-25.8M |
| Income Tax | $-50.0K | $165.0K | $143.0K |
| Continuing Ops | $-37.9M | $-36.7M | $-25.9M |
| Discontinued Ops | $0 | $0 | $0 |
| Net Income | $-37.9M | $-36.7M | $-25.9M |
| Minority Interest | $0 | $0 | $0 |
| Net to Common | $-37.9M | $-36.7M | $-25.9M |
| Metric | 2022 | 2023 | 2024 |
|---|---|---|---|
| Current Assets | $128.6M | $97.6M | $90.4M |
| Cash & Equivalents | $65.4M | $21.4M | $3.5M |
| Accounts Receivable | $0 | — | — |
| Prepaid Expenses | $8.5M | $4.5M | $6.7M |
| Other Current Assets | $54.7M | $71.7M | $80.2M |
| Long-Term Assets | $3.3M | $3.2M | $2.8M |
| Operating Leases | $772.0K | $888.0K | $383.0K |
| Other LT Assets | $2.5M | $2.3M | $2.4M |
| Total Assets | $131.9M | $100.9M | $93.2M |
| Current Liabilities | $42.7M | $42.3M | $138.7M |
| Accounts Payable | $1.3M | $903.0K | $1.5M |
| Current Leases | $382.0K | $297.0K | $179.0K |
| Other Current Liab | $26.6M | $16.9M | $119.7M |
| Long-Term Liabilities | $82.0M | $86.6M | $1.3M |
| LT Operating Leases | $445.0K | $614.0K | $444.0K |
| Other LT Liab | $81.6M | $85.9M | $-81.8M |
| Total Liabilities | $124.8M | $128.9M | $140.0M |
| Shareholders' Equity | $7.1M | $-28.0M | $-46.8M |
| Paid-In Capital | $83.8M | $94.5M | $101.7M |
| Retained Earnings | $-76.7M | $-122.5M | $-148.5M |
| Total L&E | $131.9M | $100.9M | $93.2M |
| Metric | 2022 | 2023 | 2024 |
|---|---|---|---|
| Net Income (CFO) | $-37.9M | $-36.7M | $-25.9M |
| Non-Cash Adjustments | $11.8M | $13.4M | $2.9M |
| Working Capital Changes | $5.2M | $5.8M | $-9.5M |
| Cash from Operations | $-20.8M | $-17.4M | $-32.6M |
| Capital Expenditures | $168.0K | $20.0K | $54.0K |
| Cash from Investing | $-1.5M | $-974.0K | $-1.3M |
| Cash from Financing | $-4.2M | $-22.6M | $21.6M |
| FX Effect | $0 | $0 | $0 |
| Net Change in Cash | $-26.6M | $-41.0M | $-12.3M |
| Beginning Cash | $96.4M | $69.8M | $28.8M |
| Ending Cash | $69.8M | $28.8M | $16.6M |
The company operates primarily through its core data science platform offering predictive analytics for supply chain optimization, consulting services for digital transformation projects, and strategic partnerships with major logistics providers to integrate proprietary models into client operations.
Persistent negative operating cash flow of $32.6M indicates potential liquidity constraints despite strong revenue growth, significant accumulated deficit of $148.5M requiring continuous capital raising or profitable turnaround, heavy reliance on non-operating financing inflows of $21.6M suggesting current business operations are not self-sustaining, and intense competition from larger tech firms entering the supply chain analytics space.
Proprietary machine learning algorithms that provide higher prediction accuracy than industry benchmarks, established trust within the industrial sector resulting in high client retention, and a scalable SaaS architecture allowing rapid deployment across different manufacturing environments.
Not financial advice. All content is for informational purposes only. Data may contain errors. Consult a qualified financial advisor before making investment decisions.