Appian (APPN) Research & Development (2016 - 2026)
Appian's Research & Development was $47.31 million in Q2 2026, up 10.9% from $42.66 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Appian (APPN) Research & Development (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Appian's Research & Development was $185.95 million through Jun 30, 2026, up 10.2% year-over-year; for FY2025, it was $172.19 million, up 5.4% from FY2024.
- Research & Development has now increased for ten consecutive years, with a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- In earlier years, Research & Development was $163.4 million in FY2024 (+1.9%), $160.42 million in FY2023 (+15.2%), $139.21 million in FY2022 (+42.8%) and $97.52 million in FY2021 (+38.8%).
- Quarterly Research & Development has moved between $26.46 million (Q4 2021) and $52.06 million (Q4 2025) over five years.
- Compared with a year earlier, Research & Development has increased for eight straight quarters, with growth averaging 8.3% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2021 (growth of 46.1%); the worst was Q1 2024 (a decline of 4.5%).
- Per Business Quant data, APPN's Research & Development in the three quarters before Q2 2026 was $46.32 million (Q1 2026), $52.06 million (Q4 2025) and $40.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Appian | 2.51 Bn | 1.76 Bn | 144.74 Mn | 47.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.31 Mn |
| Mar 31, 2026 | 46.32 Mn |
| Dec 31, 2025 | 52.06 Mn |
| Sep 30, 2025 | 40.26 Mn |
| Jun 30, 2025 | 42.66 Mn |
| Mar 31, 2025 | 41.83 Mn |
| Dec 31, 2024 | 45.61 Mn |
| Sep 30, 2024 | 38.57 Mn |
| Jun 30, 2024 | 39.45 Mn |
| Mar 31, 2024 | 39.77 Mn |
| Dec 31, 2023 | 41.92 Mn |
| Sep 30, 2023 | 37.14 Mn |
| Jun 30, 2023 | 39.74 Mn |
| Mar 31, 2023 | 41.62 Mn |
| Dec 31, 2022 | 37.81 Mn |
| Sep 30, 2022 | 37.62 Mn |
| Jun 30, 2022 | 33.84 Mn |
| Mar 31, 2022 | 29.84 Mn |
| Dec 31, 2021 | 26.46 Mn |
| Sep 30, 2021 | 26.51 Mn |
API Access
Appian Research & Development 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=research-and-development&ticker=APPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=APPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();