Huckleberry.ai (HUCK) Change in Accured Expenses (2017 - 2026)
Huckleberry.ai's Change in Accured Expenses was $3.77 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.5% from $3.6 million a year earlier.
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Analysis
Huckleberry.ai (HUCK) Change in Accured Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huckleberry.ai's Change in Accured Expenses was $4.82 million through Jul 31, 2026, up 24.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $8.92 million, up 42.7% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $6.25 million in FY2025, -$4.44 million in FY2024, -$9.4 million in FY2023 and $9.71 million in FY2022 (+47.2%).
- Quarterly Change in Accured Expenses has moved between -$14.43 million (fiscal Q1 2027) and $15.68 million (fiscal Q4 2022) over five years.
- Per Business Quant data, HUCK's Change in Accured Expenses in the three fiscal quarters before Q2 2027 was -$14.43 million (Q1 2027), $9.16 million (Q4 2026) and $6.33 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn | -354.52 Mn |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 74.61 Bn | 73.70 Bn | - | - |
| 9 | Thomson Reuters | 55.33 Bn | 52.12 Bn | - | - |
| 10 | Huckleberry.ai | 140.76 Mn | -14.27 Mn | 59.22 Mn | 3.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.77 Mn |
| Apr 30, 2026 | -14.43 Mn |
| Jan 31, 2026 | 9.16 Mn |
| Oct 31, 2025 | 6.33 Mn |
| Jul 31, 2025 | 3.60 Mn |
| Apr 30, 2025 | -10.16 Mn |
| Jan 31, 2025 | 179,000.00 |
| Oct 31, 2024 | 10.24 Mn |
| Jul 31, 2024 | -1.90 Mn |
| Apr 30, 2024 | -2.26 Mn |
| Jan 31, 2024 | -1.08 Mn |
| Oct 31, 2023 | -608,000.00 |
| Jul 31, 2023 | 5.55 Mn |
| Apr 30, 2023 | -8.30 Mn |
| Jan 31, 2023 | 2.47 Mn |
| Oct 31, 2022 | 3.53 Mn |
| Jul 31, 2022 | -1.21 Mn |
| Apr 30, 2022 | -14.19 Mn |
| Jan 31, 2022 | 15.68 Mn |
| Oct 31, 2021 | 5.13 Mn |
API Access
Huckleberry.ai Change in Accured Expenses 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=change-in-accured-expenses&ticker=HUCK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=HUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();