Appian (APPN) Operating Expenses (2016 - 2026)
Appian's Operating Expenses was $150.18 million in Q2 2026, up 13.2% from $132.67 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Appian (APPN) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Appian's Operating Expenses was $555.48 million through Jun 30, 2026, up 13.8% year-over-year; for FY2025, it was $526.73 million, up 3.4% from FY2024.
- Operating Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $509.64 million in FY2024 (+3.4%), $492.99 million in FY2023 (+2.8%), $479.7 million in FY2022 (+37.4%) and $349.07 million in FY2021 (+37.6%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2016.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 48.0%); the worst was Q4 2023 (a decline of 15.5%).
- Per Business Quant data, APPN's Operating Expenses in the three quarters before Q2 2026 was $144.61 million (Q1 2026), $132.09 million (Q4 2025) and $128.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Appian | 2.51 Bn | 1.76 Bn | 144.74 Mn | 150.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150.18 Mn |
| Mar 31, 2026 | 144.61 Mn |
| Dec 31, 2025 | 132.09 Mn |
| Sep 30, 2025 | 128.60 Mn |
| Jun 30, 2025 | 132.67 Mn |
| Mar 31, 2025 | 123.22 Mn |
| Dec 31, 2024 | 107.91 Mn |
| Sep 30, 2024 | 124.13 Mn |
| Jun 30, 2024 | 146.23 Mn |
| Mar 31, 2024 | 131.37 Mn |
| Dec 31, 2023 | 110.81 Mn |
| Sep 30, 2023 | 116.24 Mn |
| Jun 30, 2023 | 131.53 Mn |
| Mar 31, 2023 | 134.41 Mn |
| Dec 31, 2022 | 131.18 Mn |
| Sep 30, 2022 | 121.89 Mn |
| Jun 30, 2022 | 119.52 Mn |
| Mar 31, 2022 | 107.22 Mn |
| Dec 31, 2021 | 102.71 Mn |
| Sep 30, 2021 | 88.81 Mn |
API Access
Appian Operating 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=operating-expenses&ticker=APPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=APPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();