Huckleberry.ai (DOMO) Non-Current Debt (2018 - 2026)
Huckleberry.ai (DOMO) reported Non-Current Debt of $126.49 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 7.5% from $117.67 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Non-Current Debt (2018 - 2026) Analysis & Trends
Dating back to fiscal Q4 2018, Huckleberry.ai's Non-Current Debt record includes 32 quarters.
- Non-Current Debt has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- By fiscal year, Non-Current Debt came in at $117.67 million in FY2025 (+3.6%), $113.53 million in FY2024 (+4.5%), $108.61 million in FY2023 (+4.4%) and $103.99 million in FY2022 (+4.4%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Non-Current Debt in data going back to fiscal Q4 2018.
- Year over year, Non-Current Debt has now increased in each of the last 18 quarters, with growth averaging 5.0% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was fiscal Q4 2026 (growth of 7.5%); the low point was fiscal Q1 2022 (a decline of 1.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $124.19 million (Q3 2026), $121.94 million (Q2 2026) and $119.75 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 117.71 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 9.93 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 39.29 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.96 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 6.42 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 6.67 Bn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 126.49 Mn |
| Oct 31, 2025 | 124.19 Mn |
| Jul 31, 2025 | 121.94 Mn |
| Apr 30, 2025 | 119.75 Mn |
| Jan 31, 2025 | 117.67 Mn |
| Oct 31, 2024 | 115.57 Mn |
| Jul 31, 2024 | 115.21 Mn |
| Apr 30, 2024 | 114.12 Mn |
| Jan 31, 2024 | 113.53 Mn |
| Oct 31, 2023 | 112.26 Mn |
| Jul 31, 2023 | 111.00 Mn |
| Apr 30, 2023 | 109.77 Mn |
| Jan 31, 2023 | 108.61 Mn |
| Oct 31, 2022 | 107.42 Mn |
| Jul 31, 2022 | 106.25 Mn |
| Apr 30, 2022 | 105.09 Mn |
| Jan 31, 2022 | 103.99 Mn |
| Oct 31, 2021 | 102.85 Mn |
| Jul 31, 2021 | 101.74 Mn |
| Apr 30, 2021 | 100.65 Mn |
API Access
Huckleberry.ai Non-Current Debt 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=non-current-debt&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();