Huckleberry.ai (HUCK) Change in Receivables (2017 - 2026)
Huckleberry.ai's Change in Receivables was -$2.9 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $3.41 million a year earlier.
Huckleberry.ai (HUCK) Change in Receivables (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huckleberry.ai's Change in Receivables was $240,000 through Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it was $13.91 million, up 220.0% from FY2025.
- Change in Receivables shows a five-year compound annual growth rate of 114.7% (FY2021 to FY2026).
- In earlier fiscal years, Change in Receivables was $4.35 million in FY2025, -$11.76 million in FY2024, $14.81 million in FY2023 (-6.7%) and $15.88 million in FY2022.
- Quarterly Change in Receivables has moved between -$34.99 million (fiscal Q1 2027) and $33.19 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Change in Receivables was higher in four of the last five quarters, with growth averaging 119.1%.
- The best year-over-year quarter for Change in Receivables over five years was fiscal Q2 2026 (growth of 305.4%); the worst was fiscal Q4 2024 (a decline of 53.2%).
- Per Business Quant data, HUCK's Change in Receivables in the three fiscal quarters before Q2 2027 was -$34.99 million (Q1 2027), $33.19 million (Q4 2026) and $4.94 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 481.94 Bn | 450.89 Bn | 1.64 Bn | 72.83 Mn |
| 2 | Oracle | 376.49 Bn | 248.62 Bn | - | 1.01 Bn |
| 3 | Sap Se | 278.87 Bn | 206.65 Bn | 8.40 Bn | 1.83 Bn |
| 4 | Salesforce | 201.28 Bn | 157.15 Bn | 8.70 Bn | 1.40 Bn |
| 5 | ServiceNow | 160.15 Bn | 138.61 Bn | 2.82 Bn | 441.00 Mn |
| 6 | Automatic Data Processing | 120.74 Bn | 102.87 Bn | 2.51 Bn | -34.40 Mn |
| 7 | Intuit | 95.79 Bn | 75.14 Bn | 3.44 Bn | -208.00 Mn |
| 8 | Relx | 73.65 Bn | 72.74 Bn | - | - |
| 9 | Thomson Reuters | 54.21 Bn | 50.99 Bn | - | - |
| 10 | Huckleberry.ai | 140.76 Mn | -14.27 Mn | 59.22 Mn | -2.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -2.90 Mn |
| Apr 30, 2026 | -34.99 Mn |
| Jan 31, 2026 | 33.19 Mn |
| Oct 31, 2025 | 4.94 Mn |
| Jul 31, 2025 | 3.41 Mn |
| Apr 30, 2025 | -27.63 Mn |
| Jan 31, 2025 | 14.37 Mn |
| Oct 31, 2024 | 8.49 Mn |
| Jul 31, 2024 | 840,000.00 |
| Apr 30, 2024 | -19.35 Mn |
| Jan 31, 2024 | 11.99 Mn |
| Oct 31, 2023 | 3.02 Mn |
| Jul 31, 2023 | -4.70 Mn |
| Apr 30, 2023 | -22.07 Mn |
| Jan 31, 2023 | 25.64 Mn |
| Oct 31, 2022 | 4.17 Mn |
| Jul 31, 2022 | 2.51 Mn |
| Apr 30, 2022 | -17.52 Mn |
| Jan 31, 2022 | 25.25 Mn |
| Oct 31, 2021 | 7.75 Mn |
Huckleberry.ai Change in Receivables 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-receivables&ticker=HUCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=HUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();