Huckleberry.ai (DOMO) Total Non-Current Liabilities (2018 - 2026)
Huckleberry.ai's Total Non-Current Liabilities came in at $359.37 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 4.9% from $377.74 million a year earlier and down 5.3% from the prior quarter.
Huckleberry.ai (DOMO) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai's Total Non-Current Liabilities was $409.42 million, up 6.9% from FY2025.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 7.1% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $383.14 million in FY2025 (+4.9%), $365.21 million in FY2024 (-2.9%), $376.09 million in FY2023 (+4.6%) and $359.69 million in FY2022 (+23.9%).
- The fiscal Q2 2027 figure represents the lowest quarterly Total Non-Current Liabilities since fiscal Q1 2026.
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 4.0%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q1 2023 (growth of 28.1%), and the weakest in fiscal Q2 2027 (a decline of 4.9%).
- Business Quant data shows DOMO's Total Non-Current Liabilities at $379.63 million (Q1 2027), $409.42 million (Q4 2026) and $383.72 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 188.55 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | 1.34 Mn |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn | 359.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 359.37 Mn |
| Apr 30, 2026 | 379.63 Mn |
| Jan 31, 2026 | 409.42 Mn |
| Oct 31, 2025 | 383.72 Mn |
| Jul 31, 2025 | 377.74 Mn |
| Apr 30, 2025 | 359.28 Mn |
| Jan 31, 2025 | 383.14 Mn |
| Oct 31, 2024 | 353.23 Mn |
| Jul 31, 2024 | 350.94 Mn |
| Apr 30, 2024 | 355.21 Mn |
| Jan 31, 2024 | 365.21 Mn |
| Oct 31, 2023 | 345.54 Mn |
| Jul 31, 2023 | 350.84 Mn |
| Apr 30, 2023 | 357.62 Mn |
| Jan 31, 2023 | 376.09 Mn |
| Oct 31, 2022 | 351.51 Mn |
| Jul 31, 2022 | 353.47 Mn |
| Apr 30, 2022 | 352.67 Mn |
| Jan 31, 2022 | 359.69 Mn |
| Oct 31, 2021 | 313.20 Mn |
Huckleberry.ai Total 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=total-non-current-liabilities&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();