Katapult Holdings (KPLT) Total Non-Current Liabilities (2019 - 2026)
Katapult Holdings' Total Non-Current Liabilities came in at $138.03 million for Q2 2026, down 4.3% from $144.29 million a year earlier but up 1.6% from the prior quarter.
Katapult Holdings (KPLT) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Katapult Holdings' Total Non-Current Liabilities was $145.9 million, up 4.9% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $139.14 million in FY2024 (+8.1%), $128.76 million in FY2023 (-1.9%), $131.22 million in FY2022 (+5.3%) and $124.62 million in FY2021 (-2.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $110.6 million (Q1 2023) to $145.9 million (Q4 2025).
- Year-over-year, Total Non-Current Liabilities increased in six of the last eight quarters, with growth averaging 5.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2024 (growth of 22.1%), and the weakest in Q3 2021 (a decline of 46.7%).
- Business Quant data shows KPLT's Total Non-Current Liabilities at $135.9 million (Q1 2026), $145.9 million (Q4 2025) and $144.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.26 Bn | 28.94 Bn | - | - |
| 2 | Orix | 42.40 Bn | 42.90 Bn | - | 77.86 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.47 Bn | - | 9.32 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.47 Bn | 24.47 Bn | - | 4,200.68 Bn |
| 5 | Affirm Holdings | 23.34 Bn | 17.03 Bn | - | 10.25 Bn |
| 6 | Synchrony Financial | 23.06 Bn | -44.91 Bn | - | 105.01 Bn |
| 7 | Royal Gold | 19.98 Bn | 19.21 Bn | 390.45 Mn | 1.76 Bn |
| 8 | Annaly Capital Management | 14.18 Bn | 5.27 Bn | - | 126.51 Bn |
| 9 | Ares Capital | 13.71 Bn | 11.15 Bn | - | 16.51 Bn |
| 10 | Katapult Holdings | 20.94 Mn | 20.94 Mn | 11.51 Mn | 138.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.03 Mn |
| Mar 31, 2026 | 135.90 Mn |
| Dec 31, 2025 | 145.90 Mn |
| Sep 30, 2025 | 144.23 Mn |
| Jun 30, 2025 | 144.29 Mn |
| Mar 31, 2025 | 139.61 Mn |
| Dec 31, 2024 | 139.14 Mn |
| Sep 30, 2024 | 131.42 Mn |
| Jun 30, 2024 | 139.43 Mn |
| Mar 31, 2024 | 133.84 Mn |
| Dec 31, 2023 | 128.76 Mn |
| Sep 30, 2023 | 113.14 Mn |
| Jun 30, 2023 | 114.18 Mn |
| Mar 31, 2023 | 110.60 Mn |
| Dec 31, 2022 | 131.22 Mn |
| Sep 30, 2022 | 120.60 Mn |
| Jun 30, 2022 | 121.54 Mn |
| Mar 31, 2022 | 113.16 Mn |
| Dec 31, 2021 | 124.62 Mn |
| Sep 30, 2021 | 123.54 Mn |
Katapult Holdings Total Non-Current 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-non-current-liabilities&ticker=KPLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=KPLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();