Datavault AI (DVLT) Accounts Payables (2017 - 2026)
Datavault AI (DVLT) posted Accounts Payables of $9.71 million for Q2 2026, up 151.8% from $3.85 million a year earlier and up 37.6% from the prior quarter.
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Analysis
Datavault AI (DVLT) Accounts Payables (2017 - 2026) Analysis & Trends
At the end of FY2025, Datavault AI's Accounts Payables came in at $10.83 million, up 289.8% from FY2024.
- Annual Accounts Payables has increased for five consecutive years, with a five-year compound annual growth rate of 74.4% (FY2020 to FY2025).
- In prior years, Datavault AI's Accounts 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 Accounts Payables has run from a low of $825,000 in Q3 2021 to a high of $10.83 million in Q4 2025 over five years.
- On a year-over-year basis, Accounts Payables has increased in each of the last five quarters, with growth averaging 108.5% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2025, with growth of 289.8%; the weakest was Q3 2023, with a decline of 25.4%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $7.05 million (Q1 2026), $10.83 million (Q4 2025) and $5.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | 47.97 Mn |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 10.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 269.96 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 17.69 Mn |
| 10 | Datavault AI | 102.01 Mn | 94.70 Mn | 2.88 Mn | 9.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.71 Mn |
| Mar 31, 2026 | 7.05 Mn |
| Dec 31, 2025 | 10.83 Mn |
| Sep 30, 2025 | 5.19 Mn |
| Jun 30, 2025 | 3.85 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 | 1.96 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 Accounts 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=accounts-payables&ticker=DVLT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=DVLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();