Appfolio (APPF) Property, Plant & Equipment (Net) (2014 - 2026)
Appfolio (APPF) posted Property, Plant & Equipment (Net) of $20.32 million for Q3 2026, down 11.3% from $22.9 million a year earlier and down 5.3% from the prior quarter.
Appfolio (APPF) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, Appfolio's Property, Plant & Equipment (Net) came in at $23.23 million, down 5.1% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Appfolio's Property, Plant & Equipment (Net) was $24.48 million in FY2024 (-13.7%), $28.36 million in FY2023 (+8.6%), $26.11 million in FY2022 (-14.3%) and $30.48 million in FY2021 (+15.3%).
- The Q3 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since Q4 2019.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last nine quarters, with an average decline of 10.0% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q4 2021, with growth of 15.3%; the weakest was Q1 2023, with a decline of 15.7%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $21.46 million (Q2 2026), $22.45 million (Q1 2026) and $23.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.93 Bn | 22.17 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.69 Bn | 21.46 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Ptc | 22.43 Bn | 21.24 Bn | 490.47 Mn | 62.84 Mn |
| 5 | Toast | 20.04 Bn | 12.68 Bn | 543.00 Mn | 153.00 Mn |
| 6 | Manhattan Associates | 14.80 Bn | 13.86 Bn | 174.30 Mn | 23.82 Mn |
| 7 | Bentley Systems | 14.02 Bn | 13.50 Bn | 349.55 Mn | 45.38 Mn |
| 8 | Trimble | 12.83 Bn | 11.91 Bn | 659.10 Mn | 182.50 Mn |
| 9 | Costar | 12.32 Bn | 7.71 Bn | 741.00 Mn | 1.46 Bn |
| 10 | Appfolio | 8.08 Bn | 7.14 Bn | 190.11 Mn | 20.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.32 Mn |
| Jun 30, 2026 | 21.46 Mn |
| Mar 31, 2026 | 22.45 Mn |
| Dec 31, 2025 | 23.23 Mn |
| Sep 30, 2025 | 22.90 Mn |
| Jun 30, 2025 | 22.64 Mn |
| Mar 31, 2025 | 23.41 Mn |
| Dec 31, 2024 | 24.48 Mn |
| Sep 30, 2024 | 25.48 Mn |
| Jun 30, 2024 | 26.70 Mn |
| Mar 31, 2024 | 27.71 Mn |
| Dec 31, 2023 | 28.36 Mn |
| Sep 30, 2023 | 27.13 Mn |
| Jun 30, 2023 | 26.64 Mn |
| Mar 31, 2023 | 25.79 Mn |
| Dec 31, 2022 | 26.11 Mn |
| Sep 30, 2022 | 27.63 Mn |
| Jun 30, 2022 | 28.27 Mn |
| Mar 31, 2022 | 30.58 Mn |
| Dec 31, 2021 | 30.48 Mn |
Appfolio Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=APPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=APPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();