Datavault AI (DVLT) Receivables (2017 - 2026)
Datavault AI (DVLT) posted Receivables of $27.64 million for Q2 2026, compared with $824,000 a year earlier and down 9.6% from the prior quarter.
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Analysis
Datavault AI (DVLT) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI's Receivables came in at $30.89 million.
- Annual Receivables shows a five-year compound annual growth rate of 225.1% (FY2020 to FY2025).
- In prior years, Datavault AI's Receivables was $458,000 in FY2024 (+13.6%), $403,000 in FY2023 (+47.6%), $273,000 in FY2022 (+27.6%) and $214,000 in FY2021 (+151.8%).
- Quarterly Receivables has run from a low of $101,000 in Q2 2023 to a high of $30.57 million in Q1 2026 over five years.
- On a year-over-year basis, Receivables increased in five of the last six quarters, with growth averaging 251.9%.
- The strongest year-over-year quarter for Receivables in the past five years was Q2 2025, with growth of 604.3%; the weakest was Q2 2023, with a decline of 77.1%.
- According to Business Quant data, Receivables for the three prior quarters was $30.57 million (Q1 2026), $1.96 million (Q4 2025) and $1.23 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 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 27.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.64 Mn |
| Mar 31, 2026 | 30.57 Mn |
| Dec 31, 2025 | 1.96 Mn |
| Sep 30, 2025 | 1.23 Mn |
| Jun 30, 2025 | 824,000.00 |
| Mar 31, 2025 | 363,000.00 |
| Dec 31, 2024 | 449,000.00 |
| Sep 30, 2024 | 177,000.00 |
| Jun 30, 2024 | 117,000.00 |
| Mar 31, 2024 | 290,000.00 |
| Dec 31, 2023 | 403,000.00 |
| Sep 30, 2023 | 433,000.00 |
| Jun 30, 2023 | 101,000.00 |
| Mar 31, 2023 | 226,000.00 |
| Dec 31, 2022 | 273,000.00 |
| Sep 30, 2022 | 383,000.00 |
| Jun 30, 2022 | 442,000.00 |
| Mar 31, 2022 | 243,000.00 |
| Dec 31, 2021 | 214,000.00 |
| Sep 30, 2021 | 334,000.00 |
API Access
Datavault AI 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=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();