Katapult Holdings (KPLT) Operating Expenses (2019 - 2026)
Katapult Holdings' Operating Expenses was $13.44 million in Q2 2026, up 6.8% from $12.58 million a year earlier but down 3.1% from the prior quarter.
Katapult Holdings (KPLT) Operating Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Katapult Holdings' Operating Expenses was $51.95 million through Jun 30, 2026, down 7.4% year-over-year; for FY2025, it came in at $52.12 million, down 3.3% from FY2024.
- Operating Expenses has now declined for four consecutive years, though with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $53.87 million in FY2024 (-11.0%), $60.5 million in FY2023 (-8.1%), $65.85 million in FY2022 (-24.6%) and $87.33 million in FY2021 (+103.7%).
- Quarterly Operating Expenses has moved between $11.91 million (Q3 2023) and $22.51 million (Q4 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with an average decline of 0.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 96.4%); the worst was Q2 2022 (a decline of 46.3%).
- Per Business Quant data, KPLT's Operating Expenses in the three quarters before Q2 2026 was $13.86 million (Q1 2026), $12.56 million (Q4 2025) and $12.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 4.66 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 2.50 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 2.07 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 1.33 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 1.02 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | - |
| 10 | Katapult Holdings | 22.14 Mn | 22.14 Mn | 11.51 Mn | 13.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.44 Mn |
| Mar 31, 2026 | 13.86 Mn |
| Dec 31, 2025 | 12.56 Mn |
| Sep 30, 2025 | 12.09 Mn |
| Jun 30, 2025 | 12.58 Mn |
| Mar 31, 2025 | 14.89 Mn |
| Dec 31, 2024 | 12.24 Mn |
| Sep 30, 2024 | 16.40 Mn |
| Jun 30, 2024 | 12.55 Mn |
| Mar 31, 2024 | 12.69 Mn |
| Dec 31, 2023 | 19.55 Mn |
| Sep 30, 2023 | 11.91 Mn |
| Jun 30, 2023 | 13.48 Mn |
| Mar 31, 2023 | 15.57 Mn |
| Dec 31, 2022 | 16.54 Mn |
| Sep 30, 2022 | 16.59 Mn |
| Jun 30, 2022 | 16.39 Mn |
| Mar 31, 2022 | 16.33 Mn |
| Dec 31, 2021 | 22.51 Mn |
| Sep 30, 2021 | 20.98 Mn |
Katapult Holdings Operating Expenses 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=operating-expenses&ticker=KPLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=KPLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();