Appian (APPN) Revenue (2016 - 2026)
Appian (APPN) reported Revenue of $203.26 million for Q2 2026, up 19.1% from $170.64 million a year earlier and up 0.5% from the prior quarter.
Appian (APPN) Revenue (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Appian's Revenue came in at $795.31 million, up 20.9% year-over-year; for FY2025, it came in at $726.94 million, up 17.8% from FY2024.
- Revenue has increased for ten consecutive years, with a five-year compound annual growth rate of 19.0% (FY2020 to FY2025).
- By year, Revenue came in at $617.02 million in FY2024 (+13.1%), $545.36 million in FY2023 (+16.5%), $467.99 million in FY2022 (+26.7%) and $369.26 million in FY2021 (+21.2%).
- The Q2 2026 figure ranks as the highest quarterly Revenue in data going back to Q1 2016.
- Year over year, Revenue has now increased in each of the last 38 quarters, with growth averaging 17.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 10.8% in Q1 2024 to 32.6% in Q2 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $202.18 million (Q1 2026), $202.87 million (Q4 2025) and $187 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 19.35 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Appian | 2.51 Bn | 1.76 Bn | 144.74 Mn | 203.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.26 Mn |
| Mar 31, 2026 | 202.18 Mn |
| Dec 31, 2025 | 202.87 Mn |
| Sep 30, 2025 | 187.00 Mn |
| Jun 30, 2025 | 170.64 Mn |
| Mar 31, 2025 | 166.43 Mn |
| Dec 31, 2024 | 166.69 Mn |
| Sep 30, 2024 | 154.05 Mn |
| Jun 30, 2024 | 146.45 Mn |
| Mar 31, 2024 | 149.84 Mn |
| Dec 31, 2023 | 145.32 Mn |
| Sep 30, 2023 | 137.09 Mn |
| Jun 30, 2023 | 127.72 Mn |
| Mar 31, 2023 | 135.24 Mn |
| Dec 31, 2022 | 125.79 Mn |
| Sep 30, 2022 | 117.88 Mn |
| Jun 30, 2022 | 110.06 Mn |
| Mar 31, 2022 | 114.27 Mn |
| Dec 31, 2021 | 104.99 Mn |
| Sep 30, 2021 | 92.42 Mn |
Appian Revenue 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=revenue&ticker=APPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=APPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();