Appian (APPN) Shares Outstanding (Diluted) (2019 - 2026)
Appian's Shares Outstanding (Diluted) came in at 72.9 million for Q2 2026, down 1.8% from 74.2 million a year earlier and down 1.3% from the prior quarter.
Analysis
Appian (APPN) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Appian's Shares Outstanding (Diluted) was 74.65 million, up 2.3% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 72.99 million in FY2024 (-0.2%), 73.1 million in FY2023 (+0.9%), 72.46 million in FY2022 (+2.0%) and 71.04 million in FY2021 (+2.9%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Diluted) since Q3 2024.
- Year-over-year, Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2025 (growth of 3.0%), and the weakest in Q2 2026 (a decline of 1.8%).
- Business Quant data shows APPN's Shares Outstanding (Diluted) at 73.82 million (Q1 2026), 74.65 million (Q4 2025) and 74.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 3.00 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 1.84 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 352.53 Mn |
| 10 | Appian | 2.51 Bn | 1.76 Bn | 144.74 Mn | 72.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.90 Mn |
| Mar 31, 2026 | 73.82 Mn |
| Dec 31, 2025 | 74.65 Mn |
| Sep 30, 2025 | 74.58 Mn |
| Jun 30, 2025 | 74.20 Mn |
| Mar 31, 2025 | 74.09 Mn |
| Dec 31, 2024 | 72.99 Mn |
| Sep 30, 2024 | 72.40 Mn |
| Jun 30, 2024 | 72.30 Mn |
| Mar 31, 2024 | 73.30 Mn |
| Dec 31, 2023 | 73.10 Mn |
| Sep 30, 2023 | 73.18 Mn |
| Jun 30, 2023 | 73.04 Mn |
| Mar 31, 2023 | 72.87 Mn |
| Dec 31, 2022 | 72.46 Mn |
| Sep 30, 2022 | 72.50 Mn |
| Jun 30, 2022 | 72.39 Mn |
| Mar 31, 2022 | 72.22 Mn |
| Dec 31, 2021 | 71.04 Mn |
| Sep 30, 2021 | 71.12 Mn |
API Access
Appian 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=APPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "APPN", "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=APPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();