Huckleberry.ai (HUCK) Receivables - Net (2018 - 2026)
Huckleberry.ai (HUCK) recorded Receivables - Net of $47.56 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.5% from $47.32 million a year earlier but down 5.8% from the prior quarter.
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Analysis
Huckleberry.ai (HUCK) Receivables - Net (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai reported Receivables - Net of $85.46 million, up 19.4% from FY2025.
- Annual Receivables - Net has a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables - Net came in at $71.54 million in FY2025 (+6.5%), $67.2 million in FY2024 (-14.9%), $78.96 million in FY2023 (+23.1%) and $64.15 million in FY2022 (+32.9%).
- Quarterly Receivables - Net has ranged from $38.9 million in fiscal Q3 2022 to $85.46 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for three consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 57.8% in fiscal Q2 2023, against a decline of 15.9% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $50.47 million (Q1 2027), $85.46 million (Q4 2026) and $52.27 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 47.56 Mn |
| Apr 30, 2026 | 50.47 Mn |
| Jan 31, 2026 | 85.46 Mn |
| Oct 31, 2025 | 52.27 Mn |
| Jul 31, 2025 | 47.32 Mn |
| Apr 30, 2025 | 43.92 Mn |
| Jan 31, 2025 | 71.54 Mn |
| Oct 31, 2024 | 57.18 Mn |
| Jul 31, 2024 | 48.69 Mn |
| Apr 30, 2024 | 47.85 Mn |
| Jan 31, 2024 | 67.20 Mn |
| Oct 31, 2023 | 55.21 Mn |
| Jul 31, 2023 | 52.19 Mn |
| Apr 30, 2023 | 56.89 Mn |
| Jan 31, 2023 | 78.96 Mn |
| Oct 31, 2022 | 53.31 Mn |
| Jul 31, 2022 | 49.15 Mn |
| Apr 30, 2022 | 46.63 Mn |
| Jan 31, 2022 | 64.15 Mn |
| Oct 31, 2021 | 38.90 Mn |
API Access
Huckleberry.ai Receivables - Net 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=receivables-net&ticker=HUCK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=HUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();