Huckleberry.ai (HUCK) Total Current Liabilities (2018 - 2026)
Huckleberry.ai (HUCK) recorded Total Current Liabilities of $353.6 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 43.5% from $246.37 million a year earlier but down 5.1% from the prior quarter.
Huckleberry.ai (HUCK) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai reported Total Current Liabilities of $271.22 million, up 6.4% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $254.95 million in FY2025 (+7.2%), $237.8 million in FY2024 (-4.3%), $248.6 million in FY2023 (+5.1%) and $236.52 million in FY2022 (+27.2%).
- Quarterly Total Current Liabilities has ranged from $190.43 million in fiscal Q3 2022 to $372.65 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for nine consecutive quarters, with growth averaging 18.0% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 61.1% in fiscal Q1 2027, against a decline of 4.3% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $372.65 million (Q1 2027), $271.22 million (Q4 2026) and $249.87 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 476.50 Bn | 445.45 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 375.53 Bn | 247.66 Bn | - | 47.51 Bn |
| 3 | Sap Se | 281.01 Bn | 208.79 Bn | 8.40 Bn | 22.54 Bn |
| 4 | Salesforce | 202.28 Bn | 158.15 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 160.20 Bn | 138.66 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 121.64 Bn | 103.76 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 95.81 Bn | 75.16 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 74.21 Bn | 73.30 Bn | - | 8.70 Bn |
| 9 | Thomson Reuters | 54.74 Bn | 51.52 Bn | - | 4.45 Bn |
| 10 | Huckleberry.ai | 141.22 Mn | -13.81 Mn | 59.22 Mn | 353.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 353.60 Mn |
| Apr 30, 2026 | 372.65 Mn |
| Jan 31, 2026 | 271.22 Mn |
| Oct 31, 2025 | 249.87 Mn |
| Jul 31, 2025 | 246.37 Mn |
| Apr 30, 2025 | 231.37 Mn |
| Jan 31, 2025 | 254.95 Mn |
| Oct 31, 2024 | 226.22 Mn |
| Jul 31, 2024 | 224.62 Mn |
| Apr 30, 2024 | 228.20 Mn |
| Jan 31, 2024 | 237.80 Mn |
| Oct 31, 2023 | 216.89 Mn |
| Jul 31, 2023 | 224.24 Mn |
| Apr 30, 2023 | 230.67 Mn |
| Jan 31, 2023 | 248.60 Mn |
| Oct 31, 2022 | 225.75 Mn |
| Jul 31, 2022 | 228.59 Mn |
| Apr 30, 2022 | 228.99 Mn |
| Jan 31, 2022 | 236.52 Mn |
| Oct 31, 2021 | 190.43 Mn |
Huckleberry.ai Total 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-current-liabilities&ticker=HUCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=HUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();