Huckleberry.ai (HUCK) Long-Term Debt Repayments (2017 - 2025)
Huckleberry.ai's Long-Term Debt Repayments came in at $14.68 million for FY2026 (year ended Jan 31, 2026), up 63.7% from $8.97 million in FY2025.
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Analysis
Huckleberry.ai (HUCK) Long-Term Debt Repayments (2017 - 2025) Analysis & Trends
Going back to FY2017, Huckleberry.ai's Long-Term Debt Repayments data covers 6 fiscal years.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of 30.4% (FY2023 to FY2026).
- The FY2026 figure represents the highest annual Long-Term Debt Repayments in data going back to FY2017.
- Per Business Quant, earlier fiscal years put Long-Term Debt Repayments at $8.97 million in FY2025 and $6.62 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 484.14 Bn | 453.09 Bn | 1.64 Bn | - |
| 2 | Oracle | 382.29 Bn | 254.42 Bn | - | 4.20 Bn |
| 3 | Sap Se | 271.18 Bn | 198.96 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 198.30 Bn | 154.17 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 157.86 Bn | 136.32 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 118.67 Bn | 100.80 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 92.65 Bn | 72.00 Bn | 3.44 Bn | - |
| 8 | Relx | 71.64 Bn | 70.74 Bn | - | - |
| 9 | Strategy | 54.13 Bn | 47.12 Bn | 81.55 Mn | 1.38 Bn |
| 10 | Huckleberry.ai | 138.00 Mn | -17.03 Mn | 59.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2025 | 3.72 Mn |
| Apr 30, 2018 | 44,000.00 |
| Jan 31, 2018 | 10,000.00 |
| Oct 31, 2017 | 9,000.00 |
API Access
Huckleberry.ai Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=HUCK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "HUCK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=HUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();