Porch (PRCH) Total Non-Current Liabilities (2019 - 2026)
Porch's Total Non-Current Liabilities came in at $854,000 for Q2 2026, down 99.9% from $755.22 million a year earlier and down 99.9% from the prior quarter.
Porch (PRCH) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Porch's Total Non-Current Liabilities was $818,000, down 99.9% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -65.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $817.94 million in FY2024 (-8.9%), $897.65 million in FY2023 (-4.6%), $940.95 million in FY2022 (+16.2%) and $809.46 million in FY2021 (+414.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $818,000 (Q4 2025) to $1.06 billion (Q2 2023).
- Year-over-year, Total Non-Current Liabilities has declined for 11 consecutive quarters, with an average decline of 32.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 414.7%), and the weakest in Q4 2025 (a decline of 99.9%).
- Business Quant data shows PRCH's Total Non-Current Liabilities at $768.24 million (Q1 2026), $818,000 (Q4 2025) and $800.89 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 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.32 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 193.01 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 42.76 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 103.73 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 729.04 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 574.78 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 55.80 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.05 Bn |
| 10 | Porch | 2.22 Bn | 1.45 Bn | 87.58 Mn | 854,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 854,000.00 |
| Mar 31, 2026 | 768.24 Mn |
| Dec 31, 2025 | 818,000.00 |
| Sep 30, 2025 | 800.89 Mn |
| Jun 30, 2025 | 755.22 Mn |
| Mar 31, 2025 | 802.64 Mn |
| Dec 31, 2024 | 817.94 Mn |
| Sep 30, 2024 | 890.39 Mn |
| Jun 30, 2024 | 923.56 Mn |
| Mar 31, 2024 | 876.06 Mn |
| Dec 31, 2023 | 897.65 Mn |
| Sep 30, 2023 | 978.25 Mn |
| Jun 30, 2023 | 1.06 Bn |
| Mar 31, 2023 | 945.26 Mn |
| Dec 31, 2022 | 940.95 Mn |
| Sep 30, 2022 | 951.68 Mn |
| Jun 30, 2022 | 910.59 Mn |
| Mar 31, 2022 | 827.31 Mn |
| Dec 31, 2021 | 809.46 Mn |
| Sep 30, 2021 | 852.60 Mn |
Porch 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=PRCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PRCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();