Datavault AI (DVLT) Accumulated Depreciation (2018 - 2025)
Datavault AI's Accumulated Depreciation came in at $1.62 million for Q4 2025, up 121.7% from $729,000 a year earlier and up 92.8% from the prior quarter.
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Analysis
Datavault AI (DVLT) Accumulated Depreciation (2018 - 2025) Analysis & Trends
Going back to Q4 2018, Datavault AI's Accumulated Depreciation data covers 28 quarters.
- Accumulated Depreciation has increased in each of the last three years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by year, Accumulated Depreciation was $729,000 in FY2024 (+10.6%), $659,000 in FY2023 (+0.6%), $655,000 in FY2022 (-31.6%) and $958,000 in FY2021 (+9.0%).
- The Q4 2025 figure represents the highest quarterly Accumulated Depreciation in data going back to Q4 2018.
- Year-over-year, Accumulated Depreciation has increased for seven consecutive quarters, with growth averaging 24.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Depreciation over five years came in Q4 2025 (growth of 121.7%), and the weakest in Q2 2023 (a decline of 37.7%).
- Business Quant data shows DVLT's Accumulated Depreciation at $838,000 (Q3 2025), $794,000 (Q2 2025) and $741,000 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.62 Mn |
| Sep 30, 2025 | 838,000.00 |
| Jun 30, 2025 | 794,000.00 |
| Mar 31, 2025 | 741,000.00 |
| Dec 31, 2024 | 729,000.00 |
| Sep 30, 2024 | 718,000.00 |
| Jun 30, 2024 | 707,000.00 |
| Mar 31, 2024 | 679,000.00 |
| Dec 31, 2023 | 659,000.00 |
| Sep 30, 2023 | 643,000.00 |
| Jun 30, 2023 | 626,000.00 |
| Mar 31, 2023 | 688,000.00 |
| Dec 31, 2022 | 655,000.00 |
| Sep 30, 2022 | 947,000.00 |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | 974,000.00 |
| Dec 31, 2021 | 958,000.00 |
| Sep 30, 2021 | 938,000.00 |
| Jun 30, 2021 | 918,000.00 |
| Mar 31, 2021 | 898,000.00 |
API Access
Datavault AI Accumulated Depreciation 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=accumulated-depreciation&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();