Porch (PRCH) Non Operating Interest Expenses (2020 - 2026)
Porch (PRCH) recorded Non Operating Interest Expenses of $14.78 million in Q2 2026, up 22.6% from $12.06 million a year earlier and up 1.2% from the prior quarter.
Porch (PRCH) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Porch's Non Operating Interest Expenses came in at $57.65 million as of Jun 30, 2026, up 28.9% year-over-year; for FY2025, it was $51.57 million, up 21.2% from FY2024.
- Annual Non Operating Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 28.5% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $42.54 million in FY2024 (+33.6%), $31.83 million in FY2023 (+264.9%), $8.72 million in FY2022 (+51.5%) and $5.76 million in FY2021 (-60.9%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses in data going back to Q1 2020.
- On a year-over-year basis, Non Operating Interest Expenses has increased for 13 consecutive quarters, with growth averaging 17.8% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 393.0% in Q1 2024, against a decline of 66.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.61 million (Q1 2026), $14.31 million (Q4 2025) and $13.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 1.34 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 88.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 250.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 113.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -280.50 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 179.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 168.00 Mn |
| 10 | Porch | 2.20 Bn | 1.43 Bn | 87.58 Mn | 14.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.78 Mn |
| Mar 31, 2026 | 14.61 Mn |
| Dec 31, 2025 | 14.31 Mn |
| Sep 30, 2025 | 13.96 Mn |
| Jun 30, 2025 | 12.06 Mn |
| Mar 31, 2025 | 11.25 Mn |
| Dec 31, 2024 | 10.78 Mn |
| Sep 30, 2024 | 10.65 Mn |
| Jun 30, 2024 | 10.33 Mn |
| Mar 31, 2024 | 10.79 Mn |
| Dec 31, 2023 | 10.60 Mn |
| Sep 30, 2023 | 10.27 Mn |
| Jun 30, 2023 | 8.78 Mn |
| Mar 31, 2023 | 2.19 Mn |
| Dec 31, 2022 | 2.22 Mn |
| Sep 30, 2022 | 2.15 Mn |
| Jun 30, 2022 | 1.93 Mn |
| Mar 31, 2022 | 2.43 Mn |
| Dec 31, 2021 | 1.46 Mn |
| Sep 30, 2021 | 1.86 Mn |
Porch Non Operating Interest 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=non-operating-interest-expenses&ticker=PRCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PRCH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=PRCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();