Huckleberry.ai (DOMO) Cash & Equivalents (2017 - 2026)
Huckleberry.ai (DOMO) reported Cash & Equivalents of $25.1 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 46.8% from $47.14 million a year earlier and down 35.8% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai posted Cash & Equivalents of $42.95 million, down 5.1% from FY2025.
- Cash & Equivalents has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -13.9% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $45.26 million in FY2025 (-25.7%), $60.94 million in FY2024 (-8.4%), $66.5 million in FY2023 (-20.4%) and $83.56 million in FY2022 (-8.0%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Cash & Equivalents in data going back to fiscal Q2 2018.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with an average decline of 18.1% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2026 (growth of 17.0%); the low point was fiscal Q2 2027 (a decline of 46.8%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $39.1 million (Q1 2027), $42.95 million (Q4 2026) and $47.87 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 36.37 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 295.17 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Huckleberry.ai | 141.82 Mn | -13.20 Mn | 59.22 Mn | 25.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 25.10 Mn |
| Apr 30, 2026 | 39.10 Mn |
| Jan 31, 2026 | 42.95 Mn |
| Oct 31, 2025 | 47.87 Mn |
| Jul 31, 2025 | 47.14 Mn |
| Apr 30, 2025 | 47.18 Mn |
| Jan 31, 2025 | 45.26 Mn |
| Oct 31, 2024 | 40.93 Mn |
| Jul 31, 2024 | 55.70 Mn |
| Apr 30, 2024 | 61.16 Mn |
| Jan 31, 2024 | 60.94 Mn |
| Oct 31, 2023 | 57.39 Mn |
| Jul 31, 2023 | 63.85 Mn |
| Apr 30, 2023 | 65.99 Mn |
| Jan 31, 2023 | 66.50 Mn |
| Oct 31, 2022 | 71.08 Mn |
| Jul 31, 2022 | 79.89 Mn |
| Apr 30, 2022 | 84.00 Mn |
| Jan 31, 2022 | 83.56 Mn |
| Oct 31, 2021 | 84.25 Mn |
API Access
Huckleberry.ai Cash & Equivalents 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=cash-and-equivalents&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();