Huckleberry.ai (DOMO) Change in Receivables (2017 - 2026)
Huckleberry.ai (DOMO) recorded Change in Receivables of -$2.9 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $3.41 million a year earlier.
Powered by 
Analysis
Huckleberry.ai (DOMO) Change in Receivables (2017 - 2026) Analysis & Trends
On a TTM basis, Huckleberry.ai's Change in Receivables came in at $240,000 as of Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it came in at $13.91 million, up 220.0% from FY2025.
- Annual Change in Receivables has a five-year compound annual growth rate of 114.7% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Receivables came in at $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 ranged from -$34.99 million in fiscal Q1 2027 to $33.19 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Change in Receivables rose in four of the last five quarters, with growth averaging 119.1%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 305.4% in fiscal Q2 2026, against a decline of 53.2% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$34.99 million (Q1 2027), $33.19 million (Q4 2026) and $4.94 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 72.83 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 1.01 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 1.83 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 1.40 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 441.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | -34.40 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | -208.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | -4.24 Mn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn | -2.90 Mn |
Historic Data
Download Data
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 |
API Access
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=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();