Appian (APPN) Accumulated Expenses (2016 - 2026)
Appian's Accumulated Expenses was $21.66 million in Q2 2026, up 48.9% from $14.55 million a year earlier and unchanged from the prior quarter.
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Analysis
Appian (APPN) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Appian came in at $18.48 million, up 62.3% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $11.39 million in FY2024 (+3.1%), $11.05 million in FY2023 (-9.7%), $12.23 million in FY2022 (-21.0%) and $15.48 million in FY2021 (+166.0%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2016.
- Compared with a year earlier, Accumulated Expenses has increased for nine straight quarters, with growth averaging 33.4% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2022 (growth of 222.9%); the worst was Q2 2023 (a decline of 27.1%).
- Per Business Quant data, APPN's Accumulated Expenses in the three quarters before Q2 2026 was $21.66 million (Q1 2026), $18.48 million (Q4 2025) and $20.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Appian | 2.53 Bn | 1.78 Bn | 144.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.66 Mn |
| Mar 31, 2026 | 21.66 Mn |
| Dec 31, 2025 | 18.48 Mn |
| Sep 30, 2025 | 20.08 Mn |
| Jun 30, 2025 | 14.55 Mn |
| Mar 31, 2025 | 13.83 Mn |
| Dec 31, 2024 | 11.39 Mn |
| Sep 30, 2024 | 11.31 Mn |
| Jun 30, 2024 | 13.80 Mn |
| Mar 31, 2024 | 12.25 Mn |
| Dec 31, 2023 | 11.05 Mn |
| Sep 30, 2023 | 11.28 Mn |
| Jun 30, 2023 | 11.94 Mn |
| Mar 31, 2023 | 15.37 Mn |
| Dec 31, 2022 | 12.23 Mn |
| Sep 30, 2022 | 12.71 Mn |
| Jun 30, 2022 | 16.38 Mn |
| Mar 31, 2022 | 18.65 Mn |
| Dec 31, 2021 | 15.48 Mn |
| Sep 30, 2021 | 10.28 Mn |
API Access
Appian Accumulated 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=accumulated-expenses&ticker=APPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=APPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();