Huckleberry.ai (DOMO) Receivables (2018 - 2026)
Huckleberry.ai (DOMO) recorded Receivables of $51.16 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.5% from $49.92 million a year earlier but down 5.4% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai reported Receivables of $88.26 million, up 21.8% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of 12.7% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $72.44 million in FY2025 (+7.8%), $67.2 million in FY2024 (-14.9%), $78.96 million in FY2023 (+23.1%) and $64.15 million in FY2022 (+32.1%).
- Quarterly Receivables has ranged from $38.9 million in fiscal Q3 2022 to $88.26 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for three consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Peak year-over-year performance for Receivables 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 $54.07 million (Q1 2027), $88.26 million (Q4 2026) and $54.87 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.39 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 51.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 51.16 Mn |
| Apr 30, 2026 | 54.07 Mn |
| Jan 31, 2026 | 88.26 Mn |
| Oct 31, 2025 | 54.87 Mn |
| Jul 31, 2025 | 49.92 Mn |
| Apr 30, 2025 | 43.92 Mn |
| Jan 31, 2025 | 72.44 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 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&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();