Huckleberry.ai (DOMO) Total Liabilities (2018 - 2026)
Huckleberry.ai's Total Liabilities was $362.27 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.4% from $387.2 million a year earlier and down 5.4% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Huckleberry.ai came in at $421.6 million, up 7.7% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $391.59 million in FY2025 (+3.3%), $379.21 million in FY2024 (-2.4%), $388.52 million in FY2023 (+4.8%) and $370.57 million in FY2022 (+23.6%).
- The fiscal Q2 2027 figure marks the lowest quarterly Total Liabilities since fiscal Q3 2025.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 3.1%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2023 (growth of 27.5%); the worst was fiscal Q2 2027 (a decline of 6.4%).
- Per Business Quant data, DOMO's Total Liabilities in the three fiscal quarters before Q2 2027 was $382.87 million (Q1 2027), $421.6 million (Q4 2026) and $393.54 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 362.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 362.27 Mn |
| Apr 30, 2026 | 382.87 Mn |
| Jan 31, 2026 | 421.60 Mn |
| Oct 31, 2025 | 393.54 Mn |
| Jul 31, 2025 | 387.20 Mn |
| Apr 30, 2025 | 368.38 Mn |
| Jan 31, 2025 | 391.59 Mn |
| Oct 31, 2024 | 361.38 Mn |
| Jul 31, 2024 | 364.12 Mn |
| Apr 30, 2024 | 367.89 Mn |
| Jan 31, 2024 | 379.21 Mn |
| Oct 31, 2023 | 358.99 Mn |
| Jul 31, 2023 | 363.94 Mn |
| Apr 30, 2023 | 370.36 Mn |
| Jan 31, 2023 | 388.52 Mn |
| Oct 31, 2022 | 363.46 Mn |
| Jul 31, 2022 | 364.95 Mn |
| Apr 30, 2022 | 363.83 Mn |
| Jan 31, 2022 | 370.57 Mn |
| Oct 31, 2021 | 323.69 Mn |
API Access
Huckleberry.ai Total Liabilities 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=total-liabilities&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();