Appfolio (APPF) Price to Earnings (2017 - 2026)
Appfolio's (APPF) Price to Earnings came in at 36.03 for Q2 2026, down 11.5% from 40.73 a year earlier and down 2.8% from the prior quarter.
Analysis
Appfolio (APPF) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2025, Appfolio's Price to Earnings stood at 59.45, up 35.6% from FY2024.
- In prior years, Appfolio's Price to Earnings was 43.83 in FY2024 (-98.1%), 2284.37 in FY2023 and 4072.00 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Price to Earnings since Q2 2021.
- On a year-over-year basis, Price to Earnings increased in 1 of the last seven quarters, with an average decline of 30.8%.
- According to Business Quant data, Price to Earnings for the three prior quarters was 37.07 (Q1 2026), 59.45 (Q4 2025) and 48.56 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Appfolio | 7.00 Bn | 6.18 Bn | 178.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.03 |
| Mar 31, 2026 | 37.07 |
| Dec 31, 2025 | 59.45 |
| Sep 30, 2025 | 48.56 |
| Jun 30, 2025 | 40.73 |
| Mar 31, 2025 | 40.57 |
| Dec 31, 2024 | 43.83 |
| Sep 30, 2024 | 64.94 |
| Jun 30, 2024 | 70.88 |
| Mar 31, 2024 | 116.43 |
| Dec 31, 2023 | 2,284.37 |
| Dec 31, 2021 | 4,072.00 |
| Sep 30, 2021 | 2,257.60 |
| Jun 30, 2021 | 34.93 |
| Mar 31, 2021 | 31.01 |
| Dec 31, 2020 | 38.94 |
| Sep 30, 2020 | 29.77 |
| Jun 30, 2020 | 181.87 |
| Mar 31, 2020 | 109.78 |
| Dec 31, 2019 | 103.08 |
API Access
Appfolio Price to Earnings 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=price-to-earnings&ticker=APPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "APPF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=APPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();