Huckleberry.ai (DOMO) Other Non-Current Liabilities (2018 - 2026)
Huckleberry.ai's Other Non-Current Liabilities came in at $2.91 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 69.3% from $9.47 million a year earlier and down 10.3% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Other Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai's Other Non-Current Liabilities was $12.18 million, up 44.2% from FY2025.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Liabilities was $8.45 million in FY2025 (-39.7%), $14 million in FY2024 (+12.7%), $12.43 million in FY2023 (+14.2%) and $10.88 million in FY2022 (+12.9%).
- The fiscal Q2 2027 figure represents the lowest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2018.
- Year-over-year, Other Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 25.6%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q4 2026 (growth of 44.2%), and the weakest in fiscal Q2 2027 (a decline of 69.3%).
- Business Quant data shows DOMO's Other Non-Current Liabilities at $3.24 million (Q1 2027), $12.18 million (Q4 2026) and $9.82 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.91 Mn |
| Apr 30, 2026 | 3.24 Mn |
| Jan 31, 2026 | 12.18 Mn |
| Oct 31, 2025 | 9.82 Mn |
| Jul 31, 2025 | 9.47 Mn |
| Apr 30, 2025 | 9.11 Mn |
| Jan 31, 2025 | 8.45 Mn |
| Oct 31, 2024 | 8.15 Mn |
| Jul 31, 2024 | 13.18 Mn |
| Apr 30, 2024 | 12.67 Mn |
| Jan 31, 2024 | 14.00 Mn |
| Oct 31, 2023 | 13.45 Mn |
| Jul 31, 2023 | 13.11 Mn |
| Apr 30, 2023 | 12.74 Mn |
| Jan 31, 2023 | 12.43 Mn |
| Oct 31, 2022 | 11.95 Mn |
| Jul 31, 2022 | 11.49 Mn |
| Apr 30, 2022 | 11.16 Mn |
| Jan 31, 2022 | 10.88 Mn |
| Oct 31, 2021 | 10.50 Mn |
API Access
Huckleberry.ai Other Non-Current 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=other-non-current-liabilities&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();