Datavault AI (DVLT) Property, Plant & Equipment (Net) (2017 - 2026)
Datavault AI's Property, Plant & Equipment (Net) was $2.45 million in Q2 2026, up 606.6% from $347,000 a year earlier and up 104.5% from the prior quarter.
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Analysis
Datavault AI (DVLT) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Datavault AI came in at $606,000, up 944.8% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $58,000 in FY2024 (-37.6%), $93,000 in FY2023 (-46.6%), $174,000 in FY2022 (+7.4%) and $162,000 in FY2021 (+14.1%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2017.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in five of the last seven quarters, with growth averaging 331.0%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2025 (growth of 944.8%); the worst was Q2 2023 (a decline of 58.2%).
- Per Business Quant data, DVLT's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $1.2 million (Q1 2026), $606,000 (Q4 2025) and $303,000 (Q3 2025).
Peer Set
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 | Datavault AI | 128.17 Mn | 128.17 Mn | 2.88 Mn | 2.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.45 Mn |
| Mar 31, 2026 | 1.20 Mn |
| Dec 31, 2025 | 606,000.00 |
| Sep 30, 2025 | 303,000.00 |
| Jun 30, 2025 | 347,000.00 |
| Mar 31, 2025 | 98,000.00 |
| Dec 31, 2024 | 58,000.00 |
| Sep 30, 2024 | 62,000.00 |
| Jun 30, 2024 | 65,000.00 |
| Mar 31, 2024 | 79,000.00 |
| Dec 31, 2023 | 93,000.00 |
| Sep 30, 2023 | 109,000.00 |
| Jun 30, 2023 | 92,000.00 |
| Mar 31, 2023 | 155,000.00 |
| Dec 31, 2022 | 174,000.00 |
| Sep 30, 2022 | 198,000.00 |
| Jun 30, 2022 | 220,000.00 |
| Mar 31, 2022 | 231,000.00 |
| Dec 31, 2021 | 162,000.00 |
| Sep 30, 2021 | 169,000.00 |
API Access
Datavault AI 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=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "DVLT", "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=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();