AvePoint (AVPT) Receivables (2019 - 2026)
AvePoint's Receivables was $130.76 million in Q2 2026, up 25.7% from $103.99 million a year earlier and up 15.3% from the prior quarter.
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Analysis
AvePoint (AVPT) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Receivables at AvePoint came in at $135.09 million, up 41.2% from FY2024.
- Receivables has now increased for six consecutive years, with a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- In earlier years, Receivables was $95.68 million in FY2024 (+1.7%), $94.07 million in FY2023 (+28.2%), $73.35 million in FY2022 (+19.6%) and $61.34 million in FY2021 (+14.1%).
- Quarterly Receivables has moved between $51.9 million (Q1 2022) and $135.09 million (Q4 2025) over five years.
- Compared with a year earlier, Receivables has increased for 16 straight quarters, with growth averaging 20.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 1.7% (Q4 2024) to 41.2% (Q4 2025).
- Per Business Quant data, AVPT's Receivables in the three quarters before Q2 2026 was $113.41 million (Q1 2026), $135.09 million (Q4 2025) and $103.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | AvePoint | 2.89 Bn | 1.08 Bn | 91.01 Mn | 130.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.76 Mn |
| Mar 31, 2026 | 113.41 Mn |
| Dec 31, 2025 | 135.09 Mn |
| Sep 30, 2025 | 103.39 Mn |
| Jun 30, 2025 | 103.99 Mn |
| Mar 31, 2025 | 90.07 Mn |
| Dec 31, 2024 | 95.68 Mn |
| Sep 30, 2024 | 91.03 Mn |
| Jun 30, 2024 | 84.72 Mn |
| Mar 31, 2024 | 78.49 Mn |
| Dec 31, 2023 | 94.07 Mn |
| Sep 30, 2023 | 78.26 Mn |
| Jun 30, 2023 | 67.12 Mn |
| Mar 31, 2023 | 60.74 Mn |
| Dec 31, 2022 | 73.35 Mn |
| Sep 30, 2022 | 66.32 Mn |
| Jun 30, 2022 | 56.22 Mn |
| Mar 31, 2022 | 51.90 Mn |
| Dec 31, 2021 | 61.34 Mn |
| Sep 30, 2021 | 60.33 Mn |
API Access
AvePoint Receivables 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=receivables&ticker=AVPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();