AvePoint (AVPT) Property, Plant & Equipment (Net) (2020 - 2026)
AvePoint (AVPT) reported Property, Plant & Equipment (Net) of $6.8 million for Q2 2026, up 9.2% from $6.22 million a year earlier and up 3.1% from the prior quarter.
AvePoint (AVPT) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, AvePoint posted Property, Plant & Equipment (Net) of $6.02 million, up 13.8% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $5.29 million in FY2024 (+3.3%), $5.12 million in FY2023 (-7.6%), $5.54 million in FY2022 (+41.2%) and $3.92 million in FY2021 (+47.3%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2020.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last eight quarters, with growth averaging 14.8% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q3 2022 (growth of 72.5%); the low point was Q3 2023 (a decline of 11.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.59 million (Q1 2026), $6.02 million (Q4 2025) and $6.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | AvePoint | 2.97 Bn | 1.16 Bn | 91.01 Mn | 6.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.80 Mn |
| Mar 31, 2026 | 6.59 Mn |
| Dec 31, 2025 | 6.02 Mn |
| Sep 30, 2025 | 6.14 Mn |
| Jun 30, 2025 | 6.22 Mn |
| Mar 31, 2025 | 5.96 Mn |
| Dec 31, 2024 | 5.29 Mn |
| Sep 30, 2024 | 5.25 Mn |
| Jun 30, 2024 | 4.52 Mn |
| Mar 31, 2024 | 4.91 Mn |
| Dec 31, 2023 | 5.12 Mn |
| Sep 30, 2023 | 4.98 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 5.18 Mn |
| Dec 31, 2022 | 5.54 Mn |
| Sep 30, 2022 | 5.61 Mn |
| Jun 30, 2022 | 5.18 Mn |
| Mar 31, 2022 | 4.46 Mn |
| Dec 31, 2021 | 3.92 Mn |
| Sep 30, 2021 | 3.25 Mn |
AvePoint Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AVPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AVPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();