Huckleberry.ai (DOMO) Payables (2018 - 2026)
Huckleberry.ai (DOMO) posted Payables of $10.89 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 45.3% from $19.89 million a year earlier and down 39.7% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Payables (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai's Payables came in at $18.77 million, up 87.0% from FY2025.
- Annual Payables shows a five-year compound annual growth rate of 76.8% (FY2021 to FY2026).
- In prior fiscal years, Huckleberry.ai's Payables was $10.03 million in FY2025 (+132.6%), $4.31 million in FY2024 (-64.4%), $12.12 million in FY2023 (+154.1%) and $4.77 million in FY2022 (+339.6%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Payables since fiscal Q4 2025.
- On a year-over-year basis, Payables increased in six of the last eight quarters, with growth averaging 52.5%.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q4 2022, with growth of 339.6%; the weakest was fiscal Q4 2024, with a decline of 64.4%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $18.05 million (Q1 2027), $18.77 million (Q4 2026) and $25.05 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 18.69 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.19 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 7.02 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.24 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 834.40 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 873.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 5.37 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 190.50 Mn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 10.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.89 Mn |
| Apr 30, 2026 | 18.05 Mn |
| Jan 31, 2026 | 18.77 Mn |
| Oct 31, 2025 | 25.05 Mn |
| Jul 31, 2025 | 19.89 Mn |
| Apr 30, 2025 | 12.65 Mn |
| Jan 31, 2025 | 10.03 Mn |
| Oct 31, 2024 | 8.40 Mn |
| Jul 31, 2024 | 18.42 Mn |
| Apr 30, 2024 | 10.87 Mn |
| Jan 31, 2024 | 4.31 Mn |
| Oct 31, 2023 | 10.45 Mn |
| Jul 31, 2023 | 9.16 Mn |
| Apr 30, 2023 | 12.45 Mn |
| Jan 31, 2023 | 12.12 Mn |
| Oct 31, 2022 | 17.84 Mn |
| Jul 31, 2022 | 17.56 Mn |
| Apr 30, 2022 | 12.76 Mn |
| Jan 31, 2022 | 4.77 Mn |
| Oct 31, 2021 | 12.02 Mn |
API Access
Huckleberry.ai Payables 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=payables&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();