Porch (PRCH) Selling, General & Administrative (2019 - 2026)
Porch's Selling, General & Administrative came in at $35.69 million for Q2 2026, up 15.5% from $30.89 million a year earlier and up 37.6% from the prior quarter.
Porch (PRCH) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Porch reported Selling, General & Administrative of $111.94 million, up 10.3% year-over-year; for FY2025, it was $105.2 million, up 10.4% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $95.25 million in FY2024 (-5.8%), $101.08 million in FY2023 (-8.0%), $109.81 million in FY2022 (+29.6%) and $84.74 million in FY2021 (+200.5%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative in data going back to Q3 2019.
- Year-over-year, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2021 (growth of 301.3%), and the weakest in Q4 2023 (a decline of 21.3%).
- Business Quant data shows PRCH's Selling, General & Administrative at $25.94 million (Q1 2026), $23.26 million (Q4 2025) and $27.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 1.57 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | - |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | - |
| 10 | Porch | 2.20 Bn | 1.43 Bn | 87.58 Mn | 35.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.69 Mn |
| Mar 31, 2026 | 25.94 Mn |
| Dec 31, 2025 | 23.26 Mn |
| Sep 30, 2025 | 27.05 Mn |
| Jun 30, 2025 | 30.89 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | 22.29 Mn |
| Sep 30, 2024 | 24.30 Mn |
| Jun 30, 2024 | 23.15 Mn |
| Mar 31, 2024 | 25.51 Mn |
| Dec 31, 2023 | 23.81 Mn |
| Sep 30, 2023 | 28.66 Mn |
| Jun 30, 2023 | 22.78 Mn |
| Mar 31, 2023 | 26.07 Mn |
| Dec 31, 2022 | 30.26 Mn |
| Sep 30, 2022 | 25.08 Mn |
| Jun 30, 2022 | 28.30 Mn |
| Mar 31, 2022 | 26.70 Mn |
| Dec 31, 2021 | 18.28 Mn |
| Sep 30, 2021 | 22.03 Mn |
Porch Selling, General & Administrative 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=selling-general-and-administrative&ticker=PRCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PRCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();