AvePoint (AVPT) Research & Development (2020 - 2026)
AvePoint (AVPT) reported Research & Development of $16.56 million for Q2 2026, up 27.8% from $12.96 million a year earlier and up 20.4% from the prior quarter.
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Analysis
AvePoint (AVPT) Research & Development (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, AvePoint's Research & Development came in at $57.26 million, up 11.5% year-over-year; for FY2025, it came in at $52.59 million, up 8.0% from FY2024.
- Research & Development has increased for three consecutive years, with a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- By year, Research & Development came in at $48.7 million in FY2024 (+34.0%), $36.34 million in FY2023 (+15.9%), $31.36 million in FY2022 (-2.4%) and $32.14 million in FY2021 (+163.4%).
- The Q2 2026 figure ranks as the highest quarterly Research & Development since Q3 2021.
- Year over year, Research & Development has now increased in each of the last 11 quarters, with growth averaging 19.5% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q3 2021 (growth of 554.3%); the low point was Q3 2022 (a decline of 53.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.76 million (Q1 2026), $13 million (Q4 2025) and $13.94 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | AvePoint | 2.89 Bn | 1.08 Bn | 91.01 Mn | 16.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.56 Mn |
| Mar 31, 2026 | 13.76 Mn |
| Dec 31, 2025 | 13.00 Mn |
| Sep 30, 2025 | 13.94 Mn |
| Jun 30, 2025 | 12.96 Mn |
| Mar 31, 2025 | 12.69 Mn |
| Dec 31, 2024 | 12.87 Mn |
| Sep 30, 2024 | 12.84 Mn |
| Jun 30, 2024 | 12.50 Mn |
| Mar 31, 2024 | 10.49 Mn |
| Dec 31, 2023 | 9.41 Mn |
| Sep 30, 2023 | 8.64 Mn |
| Jun 30, 2023 | 9.27 Mn |
| Mar 31, 2023 | 9.02 Mn |
| Dec 31, 2022 | 7.51 Mn |
| Sep 30, 2022 | 9.21 Mn |
| Jun 30, 2022 | 8.08 Mn |
| Mar 31, 2022 | 6.56 Mn |
| Dec 31, 2021 | 4.51 Mn |
| Sep 30, 2021 | 19.65 Mn |
API Access
AvePoint 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=AVPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "AVPT", "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=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();