Appfolio (APPF) Change in Accured Expenses (2014 - 2023)
Appfolio (APPF) reported Change in Accured Expenses of $10.53 million for Q3 2023, up 46.1% from $7.21 million a year earlier.
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Analysis
Appfolio (APPF) Change in Accured Expenses (2014 - 2023) Analysis & Trends
Over the twelve months ended Sep 30, 2023, Appfolio's Change in Accured Expenses came in at $8.11 million, down 9.1% year-over-year; for FY2022, it was $4.28 million, down 62.0% from FY2021.
- Change in Accured Expenses has a five-year compound annual growth rate of 5.7% (FY2017 to FY2022).
- By year, Change in Accured Expenses came in at $11.26 million in FY2021 (+63.8%), $6.88 million in FY2020 (+51.4%), $4.54 million in FY2019 (+38.4%) and $3.28 million in FY2018 (+1.2%).
- Five-year quarterly Change in Accured Expenses spans a low of -$15.76 million in Q2 2023 and a high of $13.04 million in Q1 2023.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 72.1%.
- The high point for year-over-year Change in Accured Expenses in five years was Q4 2021 (growth of 420.5%); the low point was Q4 2022 (a decline of 94.1%).
- Per Business Quant data, the three quarters before Q3 2023 came in at -$15.76 million (Q2 2023), $13.04 million (Q1 2023) and $290,000 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Appfolio | 7.23 Bn | 6.40 Bn | 178.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 10.53 Mn |
| Jun 30, 2023 | -15.76 Mn |
| Mar 31, 2023 | 13.04 Mn |
| Dec 31, 2022 | 290,000.00 |
| Sep 30, 2022 | 7.21 Mn |
| Jun 30, 2022 | 1.80 Mn |
| Mar 31, 2022 | -5.02 Mn |
| Dec 31, 2021 | 4.93 Mn |
| Sep 30, 2021 | -1.30 Mn |
| Jun 30, 2021 | 11.44 Mn |
| Mar 31, 2021 | -3.80 Mn |
| Dec 31, 2020 | 947,000.00 |
| Sep 30, 2020 | 1.40 Mn |
| Jun 30, 2020 | 9.96 Mn |
| Mar 31, 2020 | -5.43 Mn |
| Dec 31, 2019 | 4.06 Mn |
| Sep 30, 2019 | -898,000.00 |
| Jun 30, 2019 | 4.25 Mn |
| Mar 31, 2019 | -2.87 Mn |
| Dec 31, 2018 | -116,000.00 |
API Access
Appfolio Change in Accured 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=change-in-accured-expenses&ticker=APPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=APPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();