AvePoint (AVPT) Current Assets (2019 - 2026)
AvePoint (AVPT) posted Current Assets of $557.49 million for Q2 2026, up 3.3% from $539.82 million a year earlier but down 0.8% from the prior quarter.
AvePoint (AVPT) Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, AvePoint's Current Assets came in at $625.31 million, up 58.4% from FY2024.
- Annual Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 39.0% (FY2020 to FY2025).
- In prior years, AvePoint's Current Assets was $394.8 million in FY2024 (+21.3%), $325.58 million in FY2023 (+6.3%), $306.3 million in FY2022 (-8.3%) and $334.16 million in FY2021 (+176.9%).
- Quarterly Current Assets has run from a low of $285.93 million in Q3 2022 to a high of $625.31 million in Q4 2025 over five years.
- On a year-over-year basis, Current Assets has increased in each of the last 12 quarters, with growth averaging 39.4% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q4 2021, with growth of 176.9%; the weakest was Q3 2022, with a decline of 13.3%.
- According to Business Quant data, Current Assets for the three prior quarters was $562.25 million (Q1 2026), $625.31 million (Q4 2025) and $580.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 8.64 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.96 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 6.21 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.49 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 6.01 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.00 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 3.09 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.03 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 30.56 Bn |
| 10 | AvePoint | 2.89 Bn | 1.08 Bn | 91.01 Mn | 557.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 557.49 Mn |
| Mar 31, 2026 | 562.25 Mn |
| Dec 31, 2025 | 625.31 Mn |
| Sep 30, 2025 | 580.69 Mn |
| Jun 30, 2025 | 539.82 Mn |
| Mar 31, 2025 | 446.64 Mn |
| Dec 31, 2024 | 394.80 Mn |
| Sep 30, 2024 | 341.05 Mn |
| Jun 30, 2024 | 316.89 Mn |
| Mar 31, 2024 | 303.73 Mn |
| Dec 31, 2023 | 325.58 Mn |
| Sep 30, 2023 | 286.87 Mn |
| Jun 30, 2023 | 290.26 Mn |
| Mar 31, 2023 | 294.79 Mn |
| Dec 31, 2022 | 306.30 Mn |
| Sep 30, 2022 | 285.93 Mn |
| Jun 30, 2022 | 304.30 Mn |
| Mar 31, 2022 | 315.67 Mn |
| Dec 31, 2021 | 334.16 Mn |
| Sep 30, 2021 | 329.63 Mn |
AvePoint Current Assets 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=current-assets&ticker=AVPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();