Appfolio (APPF) Shares Outstanding (Diluted) (2015 - 2026)
Appfolio (APPF) reported Weighted Average Shares Outstanding (Diluted) of 35.58 million for Q3 2026, down 1.9% from 36.26 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Appfolio (APPF) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Appfolio posted Weighted Average Shares Outstanding (Diluted) of 36.33 million, down 1.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 36.78 million in FY2024 (+1.0%), 36.42 million in FY2023 (+4.0%), 35.01 million in FY2022 (-1.9%) and 35.7 million in FY2021 (unchanged).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 34.84 million in Q1 2022 and a high of 36.78 million in Q4 2024.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last seven quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q3 2023 (growth of 4.1%); the low point was Q1 2022 (a decline of 2.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 35.46 million (Q2 2026), 35.81 million (Q1 2026) and 36.33 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 165.06 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 590.46 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 114.98 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 592.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 59.00 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 317.69 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 233.20 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 401.90 Mn |
| 10 | Appfolio | 8.17 Bn | 7.24 Bn | 190.11 Mn | 35.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.58 Mn |
| Jun 30, 2026 | 35.46 Mn |
| Mar 31, 2026 | 35.81 Mn |
| Dec 31, 2025 | 36.33 Mn |
| Sep 30, 2025 | 36.26 Mn |
| Jun 30, 2025 | 36.20 Mn |
| Mar 31, 2025 | 36.65 Mn |
| Dec 31, 2024 | 36.78 Mn |
| Sep 30, 2024 | 36.76 Mn |
| Jun 30, 2024 | 36.74 Mn |
| Mar 31, 2024 | 36.67 Mn |
| Dec 31, 2023 | 36.42 Mn |
| Sep 30, 2023 | 36.48 Mn |
| Jun 30, 2023 | 35.57 Mn |
| Mar 31, 2023 | 35.44 Mn |
| Dec 31, 2022 | 35.01 Mn |
| Sep 30, 2022 | 35.04 Mn |
| Jun 30, 2022 | 34.93 Mn |
| Mar 31, 2022 | 34.84 Mn |
| Dec 31, 2021 | 35.70 Mn |
API Access
Appfolio Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=APPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=APPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();