Appfolio (APPF) Operating Expenses (2014 - 2026)
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Analysis
Appfolio (APPF) Operating Expenses (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 378.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 225.19 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 226.93 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 517.10 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 657.00 Mn |
| 10 | Appfolio | 8.17 Bn | 7.24 Bn | 190.11 Mn | 238.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 238.28 Mn |
| Jun 30, 2026 | 228.15 Mn |
| Mar 31, 2026 | 211.47 Mn |
| Dec 31, 2025 | 204.62 Mn |
| Sep 30, 2025 | 214.31 Mn |
| Jun 30, 2025 | 195.06 Mn |
| Mar 31, 2025 | 183.92 Mn |
| Dec 31, 2024 | 180.71 Mn |
| Sep 30, 2024 | 163.17 Mn |
| Jun 30, 2024 | 161.35 Mn |
| Mar 31, 2024 | 153.34 Mn |
| Dec 31, 2023 | 143.59 Mn |
| Sep 30, 2023 | 165.51 Mn |
| Jun 30, 2023 | 147.75 Mn |
| Mar 31, 2023 | 162.63 Mn |
| Dec 31, 2022 | 144.01 Mn |
| Sep 30, 2022 | 132.90 Mn |
| Jun 30, 2022 | 147.38 Mn |
| Mar 31, 2022 | 119.97 Mn |
| Dec 31, 2021 | 102.94 Mn |
API Access
Appfolio 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=APPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=APPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();