Datavault AI (DVLT) Payables (2017 - 2026)
Datavault AI's Payables was $11.25 million in Q2 2026, up 157.1% from $4.38 million a year earlier and up 10.2% from the prior quarter.
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Analysis
Datavault AI (DVLT) Payables (2017 - 2026) Analysis & Trends
At the end of FY2025, Payables at Datavault AI came in at $11.85 million, up 326.2% from FY2024.
- Payables has now increased for five consecutive years, with a five-year compound annual growth rate of 77.5% (FY2020 to FY2025).
- In earlier years, Payables was $2.78 million in FY2024 (+19.8%), $2.32 million in FY2023 (+13.6%), $2.04 million in FY2022 (+31.8%) and $1.55 million in FY2021 (+130.5%).
- Quarterly Payables has moved between $825,000 (Q3 2021) and $11.85 million (Q4 2025) over five years.
- Compared with a year earlier, Payables has increased for five straight quarters, with growth averaging 134.6% over the last eight quarters.
- The best year-over-year quarter for Payables over five years was Q4 2025 (growth of 326.2%); the worst was Q3 2024 (a decline of 34.7%).
- Per Business Quant data, DVLT's Payables in the three quarters before Q2 2026 was $10.21 million (Q1 2026), $11.85 million (Q4 2025) and $6.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 269.96 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 10.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 47.97 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.65 Bn |
| 10 | Datavault AI | 136.71 Mn | 136.71 Mn | 2.88 Mn | 11.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.25 Mn |
| Mar 31, 2026 | 10.21 Mn |
| Dec 31, 2025 | 11.85 Mn |
| Sep 30, 2025 | 6.06 Mn |
| Jun 30, 2025 | 4.38 Mn |
| Mar 31, 2025 | 2.81 Mn |
| Dec 31, 2024 | 2.78 Mn |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 2.19 Mn |
| Mar 31, 2024 | 3.26 Mn |
| Dec 31, 2023 | 2.32 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 937,000.00 |
| Mar 31, 2023 | 2.18 Mn |
| Dec 31, 2022 | 2.04 Mn |
| Sep 30, 2022 | 2.62 Mn |
| Jun 30, 2022 | 1.19 Mn |
| Mar 31, 2022 | 2.10 Mn |
| Dec 31, 2021 | 1.55 Mn |
| Sep 30, 2021 | 825,000.00 |
API Access
Datavault AI Payables 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=payables&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();