Huckleberry.ai (DOMO) Current Assets (2018 - 2026)
Huckleberry.ai's Current Assets was $99.68 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 15.1% from $117.41 million a year earlier and down 14.9% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Current Assets at Huckleberry.ai came in at $153.56 million, up 8.4% from FY2025.
- Current Assets shows a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- In earlier fiscal years, Current Assets was $141.68 million in FY2025 (-7.8%), $153.74 million in FY2024 (-8.9%), $168.81 million in FY2023 (-2.5%) and $173.1 million in FY2022 (+4.8%).
- The fiscal Q2 2027 figure marks the lowest quarterly Current Assets in data going back to fiscal Q4 2018.
- Compared with a year earlier, Current Assets was higher in two of the last eight quarters, with an average decline of 5.7%.
- The best year-over-year quarter for Current Assets over five years was fiscal Q1 2023 (growth of 14.0%); the worst was fiscal Q2 2027 (a decline of 15.1%).
- Per Business Quant data, DOMO's Current Assets in the three fiscal quarters before Q2 2027 was $117.14 million (Q1 2027), $153.56 million (Q4 2026) and $122.72 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 11.10 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 55.63 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.33 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 22.08 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 8.51 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 52.56 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 15.31 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 2.67 Bn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 99.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 99.68 Mn |
| Apr 30, 2026 | 117.14 Mn |
| Jan 31, 2026 | 153.56 Mn |
| Oct 31, 2025 | 122.72 Mn |
| Jul 31, 2025 | 117.41 Mn |
| Apr 30, 2025 | 117.10 Mn |
| Jan 31, 2025 | 141.68 Mn |
| Oct 31, 2024 | 120.47 Mn |
| Jul 31, 2024 | 128.83 Mn |
| Apr 30, 2024 | 134.17 Mn |
| Jan 31, 2024 | 153.74 Mn |
| Oct 31, 2023 | 136.27 Mn |
| Jul 31, 2023 | 139.96 Mn |
| Apr 30, 2023 | 147.01 Mn |
| Jan 31, 2023 | 168.81 Mn |
| Oct 31, 2022 | 147.00 Mn |
| Jul 31, 2022 | 153.35 Mn |
| Apr 30, 2022 | 161.18 Mn |
| Jan 31, 2022 | 173.10 Mn |
| Oct 31, 2021 | 144.25 Mn |
API Access
Huckleberry.ai Current Assets 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=current-assets&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "ticker": "DOMO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=current-assets&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();