Porch (PRCH) Operating Expenses (2019 - 2026)
Porch (PRCH) reported Operating Expenses of $84.81 million for Q2 2026, down 1.1% from $85.79 million a year earlier but up 117.6% from the prior quarter.
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Analysis
Porch (PRCH) Operating Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Porch's Operating Expenses came in at $201.14 million, down 35.5% year-over-year; for FY2025, it came in at $158.52 million, down 68.4% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By year, Operating Expenses came in at $502.42 million in FY2024 (-19.1%), $620.66 million in FY2023 (+37.0%), $453 million in FY2022 (+64.2%) and $275.8 million in FY2021 (+140.8%).
- Five-year quarterly Operating Expenses spans a low of $36.92 million in Q4 2025 and a high of $258.17 million in Q2 2023.
- Year over year, Operating Expenses gained in 1 of the last eight quarters, with an average decline of 34.5%.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 197.3%); the low point was Q1 2025 (a decline of 75.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $38.97 million (Q1 2026), $36.92 million (Q4 2025) and $40.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Porch | 2.22 Bn | 1.45 Bn | 87.58 Mn | 84.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.81 Mn |
| Mar 31, 2026 | 38.97 Mn |
| Dec 31, 2025 | 36.92 Mn |
| Sep 30, 2025 | 40.43 Mn |
| Jun 30, 2025 | 85.79 Mn |
| Mar 31, 2025 | 37.20 Mn |
| Dec 31, 2024 | 75.28 Mn |
| Sep 30, 2024 | 113.70 Mn |
| Jun 30, 2024 | 163.32 Mn |
| Mar 31, 2024 | 150.11 Mn |
| Dec 31, 2023 | 107.23 Mn |
| Sep 30, 2023 | 129.36 Mn |
| Jun 30, 2023 | 258.17 Mn |
| Mar 31, 2023 | 125.90 Mn |
| Dec 31, 2022 | 97.91 Mn |
| Sep 30, 2022 | 160.27 Mn |
| Jun 30, 2022 | 102.59 Mn |
| Mar 31, 2022 | 92.22 Mn |
| Dec 31, 2021 | 69.95 Mn |
| Sep 30, 2021 | 75.38 Mn |
API Access
Porch 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=PRCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PRCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();