Appian (APPN) Operating Margin (2016 - 2026)
Appian (APPN) posted Operating Margin of -2.68% for Q2 2026, up 3.76 percentage points from -6.44% a year earlier but down 4.24 percentage points from the prior quarter.
Appian (APPN) Operating Margin (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Appian was 1.28%, up 3.39 percentage points year-over-year; for FY2025, it was 0.08%, up 9.95 percentage points from FY2024.
- Annual Operating Margin has increased for three consecutive years, with a five-year change of +12.53 percentage points (FY2020 to FY2025).
- In prior years, Appian's Operating Margin was -9.86% in FY2024 (+9.94 pp), -19.80% in FY2023 (+11.19 pp), -30.99% in FY2022 (-8.26 pp) and -22.72% in FY2021 (-10.28 pp).
- Quarterly Operating Margin has run from a low of -38.84% in Q2 2022 to a high of 7.01% in Q3 2025 over five years.
- On a year-over-year basis, Operating Margin increased in seven of the last eight quarters, with an average year-over-year change of +8.50 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q3 2023, with a gain of 20.95 percentage points; the weakest was Q3 2021, with a drop of 15.05 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 1.56% (Q1 2026), -0.34% (Q4 2025) and 7.01% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 34.78% |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | -6,808.11% |
| 10 | Appian | 2.54 Bn | 1.78 Bn | 144.74 Mn | -2.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.68% |
| Mar 31, 2026 | 1.56% |
| Dec 31, 2025 | -0.34% |
| Sep 30, 2025 | 7.01% |
| Jun 30, 2025 | -6.44% |
| Mar 31, 2025 | -0.50% |
| Dec 31, 2024 | 3.02% |
| Sep 30, 2024 | -4.65% |
| Jun 30, 2024 | -26.76% |
| Mar 31, 2024 | -13.04% |
| Dec 31, 2023 | -11.58% |
| Sep 30, 2023 | -11.10% |
| Jun 30, 2023 | -31.84% |
| Mar 31, 2023 | -26.08% |
| Dec 31, 2022 | -32.29% |
| Sep 30, 2022 | -32.05% |
| Jun 30, 2022 | -38.84% |
| Mar 31, 2022 | -20.89% |
| Dec 31, 2021 | -24.71% |
| Sep 30, 2021 | -24.78% |
Appian Operating Margin 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=operating-margin&ticker=APPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=APPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();