AvePoint (AVPT) Accumulated Expenses (2020 - 2026)
AvePoint (AVPT) reported Accumulated Expenses of $77.52 million for Q2 2026, up 14.1% from $67.96 million a year earlier and up 14.8% from the prior quarter.
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Analysis
AvePoint (AVPT) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, AvePoint posted Accumulated Expenses of $84.19 million, up 10.6% from FY2024.
- Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 26.3% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $76.14 million in FY2024 (+41.6%), $53.77 million in FY2023 (+12.5%), $47.78 million in FY2022 (+36.3%) and $35.06 million in FY2021 (+33.6%).
- Five-year quarterly Accumulated Expenses spans a low of $25.78 million in Q3 2021 and a high of $84.19 million in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last 16 quarters, with growth averaging 30.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 10.6% in Q4 2025 to 51.8% in Q3 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at $67.5 million (Q1 2026), $84.19 million (Q4 2025) and $83.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | AvePoint | 2.98 Bn | 1.16 Bn | 91.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.52 Mn |
| Mar 31, 2026 | 67.50 Mn |
| Dec 31, 2025 | 84.19 Mn |
| Sep 30, 2025 | 83.20 Mn |
| Jun 30, 2025 | 67.96 Mn |
| Mar 31, 2025 | 56.15 Mn |
| Dec 31, 2024 | 76.14 Mn |
| Sep 30, 2024 | 57.46 Mn |
| Jun 30, 2024 | 47.34 Mn |
| Mar 31, 2024 | 40.92 Mn |
| Dec 31, 2023 | 53.77 Mn |
| Sep 30, 2023 | 44.54 Mn |
| Jun 30, 2023 | 41.80 Mn |
| Mar 31, 2023 | 35.06 Mn |
| Dec 31, 2022 | 47.78 Mn |
| Sep 30, 2022 | 39.13 Mn |
| Jun 30, 2022 | 32.73 Mn |
| Mar 31, 2022 | 27.28 Mn |
| Dec 31, 2021 | 35.06 Mn |
| Sep 30, 2021 | 25.78 Mn |
API Access
AvePoint 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=AVPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();