Huckleberry.ai (DOMO) Total Debt (2018 - 2026)
Huckleberry.ai (DOMO) posted Total Debt of $137.24 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 12.5% from $121.94 million a year earlier but down 0.8% from the prior quarter.
Huckleberry.ai (DOMO) Total Debt (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai's Total Debt came in at $126.49 million, up 7.5% from FY2025.
- Annual Total Debt has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- In prior fiscal years, Huckleberry.ai's Total Debt was $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%).
- Quarterly Total Debt has run from a low of $102.85 million in fiscal Q3 2022 to a high of $138.3 million in fiscal Q1 2027 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last 20 quarters, with growth averaging 7.5% over the last eight quarters.
- The year-over-year growth in Total Debt has ranged between 3.0% (fiscal Q3 2025) and 15.5% (fiscal Q1 2027) over the last five years.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $138.3 million (Q1 2027), $126.49 million (Q4 2026) and $124.19 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 125.34 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 15.56 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 | 2.08 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 | 7.67 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.29 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 6.71 Bn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 137.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 137.24 Mn |
| Apr 30, 2026 | 138.30 Mn |
| 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 |
Huckleberry.ai Total 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=total-debt&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();