Katapult Holdings (KPLT) Total Liabilities (2019 - 2026)
Katapult Holdings' Total Liabilities came in at $138.03 million for Q2 2026, down 4.6% from $144.65 million a year earlier but up 1.5% from the prior quarter.
Katapult Holdings (KPLT) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Katapult Holdings' Total Liabilities was $145.95 million, up 4.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $139.97 million in FY2024 (+8.6%), $128.85 million in FY2023 (-2.5%), $132.12 million in FY2022 (+0.1%) and $131.96 million in FY2021 (-6.3%).
- The five-year range for quarterly Total Liabilities is $111.37 million (Q1 2023) to $145.95 million (Q4 2025).
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 4.9%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2024 (growth of 21.7%), and the weakest in Q1 2022 (a decline of 52.0%).
- Business Quant data shows KPLT's Total Liabilities at $135.93 million (Q1 2026), $145.95 million (Q4 2025) and $144.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 84.49 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 37.43 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 10.03 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 4,215.85 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 105.03 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 10.31 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 1.82 Bn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 126.76 Bn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | 16.61 Bn |
| 10 | Katapult Holdings | 22.14 Mn | 22.14 Mn | 11.51 Mn | 138.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.03 Mn |
| Mar 31, 2026 | 135.93 Mn |
| Dec 31, 2025 | 145.95 Mn |
| Sep 30, 2025 | 144.31 Mn |
| Jun 30, 2025 | 144.65 Mn |
| Mar 31, 2025 | 140.22 Mn |
| Dec 31, 2024 | 139.97 Mn |
| Sep 30, 2024 | 132.24 Mn |
| Jun 30, 2024 | 139.58 Mn |
| Mar 31, 2024 | 134.10 Mn |
| Dec 31, 2023 | 128.85 Mn |
| Sep 30, 2023 | 113.27 Mn |
| Jun 30, 2023 | 114.69 Mn |
| Mar 31, 2023 | 111.37 Mn |
| Dec 31, 2022 | 132.12 Mn |
| Sep 30, 2022 | 122.15 Mn |
| Jun 30, 2022 | 123.47 Mn |
| Mar 31, 2022 | 117.41 Mn |
| Dec 31, 2021 | 131.96 Mn |
| Sep 30, 2021 | 143.29 Mn |
Katapult Holdings Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=KPLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KPLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=KPLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();