KATAPULT HOLDINGS INC

Insider Trading & Executive Data

KPLT
NASDAQ
Technology
Software - Infrastructure

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21 insider trades in the last year. Go beyond summary counts with transaction-level detail, compensation intelligence, and institutional ownership context.

Trade-level insider transactions with filing links, transaction codes, and footnotes
Executive compensation trends by role with year-over-year comparisons
Institutional ownership shifts by quarter with top-holder concentration data
Form 144 and Form 8-K monitoring with AI analysis and CSV export tools

Insider Activity Summary

Insider Trades (1Y)
21
0 in last 30 days
Buy / Sell (1Y)
6/15
Acquisitions / Dispositions
Unique Insiders (1Y)
10
Active in past year
Insider Positions
15
Current holdings
Position Status
15/0
Active / Exited
Institutional Holders
25
Latest quarter
Board Members
13

Compensation & Governance

Avg Total Compensation
$2.2M
Latest year: 2024
Executives Covered
6
Comp records available
Form 8-K Events (1Y)
4
Personnel Changes (1Y)
4
Bonus Plan Events (1Y)
1
Organization Changes (1Y)
0
Board Appointments (1Y)
3
Board Departures (1Y)
1

Restricted Sales

Form 144 Filings (1Y)
1
Form 144 Insiders (1Y)
1
Planned Sale Shares (1Y)
531.0K
Planned Sale Value (1Y)
$6.5M
Price
$6.09
Market Cap
$29.1M
Volume
407
EPS
$-0.94
Revenue
$74.0M
Employees
94
About KATAPULT HOLDINGS INC

Company Overview

Katapult is a technology-driven virtual lease-to-own (LTO) fintech that enables underserved, nonprime U.S. consumers to acquire durable goods through flexible lease-purchase agreements. The business is asset‑light and platform-focused, distributing via direct merchant integrations, a growing Katapult Pay (KPay) mobile checkout (32% of 2024 originations), waterfall integrations and in‑store text-to-checkout; Wayfair is the largest partner (36% of 2024 originations) and the top ten merchants drove ~78% of originations. Competitive advantages include proprietary, non‑FICO underwriting and behavioral machine‑learning models, a customer‑centric product (no late/NSF fees), and high NPS/repeat rates; material risks include merchant concentration, state lease‑purchase regulation across 46 states + D.C., data privacy/security exposure, and pronounced liquidity/refinancing risk.

Executive Compensation Practices

Given Katapult’s business model and the MDA, executive pay is likely tied heavily to near‑term operating and product KPIs rather than only GAAP profit—key incentive drivers would include gross originations (and growth in Katapult Pay), adjusted gross profit/adjusted EBITDA, collection/write‑off rates (management targets ~8–10%), merchant diversification away from large partners, and successful refinancing/covenant outcomes. Historical reductions in stock‑based compensation and explicit use of non‑GAAP metrics in management reporting suggest incentive plans may lean on cash bonuses for short‑term targets plus performance equity (RSUs or PSUs) tied to metrics like originations, repeat purchase/NPS and margin recovery for long‑term alignment. Regulatory and licensing milestones, compliance with state LTO statutes and data‑privacy programs are also sensible gating items or clawback triggers for compensation given the firm’s exposure to consumer‑finance oversight.

Insider Trading Considerations

Insider trading patterns at Katapult may be influenced by discrete liquidity and refinancing events (loans with near‑term maturities, low cash balances—cash ranged from ~$7–16M in recent filings—and elevated secured borrowings), large merchant contract news (e.g., Wayfair share shifts), and product adoption trends (KPay growth). Expect insiders to use formal pre‑arranged trading plans (Rule 10b5‑1) or adhere to blackout windows around earnings, covenant waivers, or refinancing announcements to avoid Section 10(b)/Rule 10b‑5 risks; also review credit‑agreement restrictions that can limit equity pledges or transfers. Given meaningful equity compensation and constrained personal liquidity risk for executives, watch the timing and size of insider sales (for liquidity versus signaling), and treat clustered or large sales ahead of adverse covenant/refinancing disclosures as higher‑risk signals for traders and researchers.

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