AvePoint (AVPT) Total Non-Current Liabilities (2019 - 2026)
AvePoint's Total Non-Current Liabilities came in at $310.21 million for Q2 2026, up 23.3% from $251.59 million a year earlier and up 7.6% from the prior quarter.
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Analysis
AvePoint (AVPT) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, AvePoint's Total Non-Current Liabilities was $298.9 million, up 23.7% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, though with a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $241.7 million in FY2024 (+17.7%), $205.43 million in FY2023 (+14.3%), $179.76 million in FY2022 (+40.0%) and $128.37 million in FY2021 (-64.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q2 2021.
- Year-over-year, Total Non-Current Liabilities has increased for 16 consecutive quarters, with growth averaging 23.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2022 (growth of 40.0%), and the weakest in Q1 2022 (a decline of 73.8%).
- Business Quant data shows AVPT's Total Non-Current Liabilities at $288.41 million (Q1 2026), $298.9 million (Q4 2025) and $271.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 2.11 Bn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.68 Bn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 12.63 Bn |
| 10 | AvePoint | 2.87 Bn | 1.06 Bn | 91.01 Mn | 310.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 310.21 Mn |
| Mar 31, 2026 | 288.41 Mn |
| Dec 31, 2025 | 298.90 Mn |
| Sep 30, 2025 | 271.27 Mn |
| Jun 30, 2025 | 251.59 Mn |
| Mar 31, 2025 | 230.70 Mn |
| Dec 31, 2024 | 241.70 Mn |
| Sep 30, 2024 | 217.29 Mn |
| Jun 30, 2024 | 194.24 Mn |
| Mar 31, 2024 | 183.93 Mn |
| Dec 31, 2023 | 205.43 Mn |
| Sep 30, 2023 | 184.28 Mn |
| Jun 30, 2023 | 176.51 Mn |
| Mar 31, 2023 | 167.35 Mn |
| Dec 31, 2022 | 179.76 Mn |
| Sep 30, 2022 | 156.40 Mn |
| Jun 30, 2022 | 145.87 Mn |
| Mar 31, 2022 | 133.43 Mn |
| Dec 31, 2021 | 128.37 Mn |
| Sep 30, 2021 | 115.55 Mn |
API Access
AvePoint Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AVPT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();