Huckleberry.ai (DOMO) Accumulated Expenses (2018 - 2026)
Huckleberry.ai's Accumulated Expenses was $48.1 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 7.7% from $44.66 million a year earlier and up 9.0% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Huckleberry.ai came in at $60.85 million, up 22.4% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $49.7 million in FY2025 (+14.4%), $43.43 million in FY2024 (-11.9%), $49.31 million in FY2023 (-17.8%) and $59.98 million in FY2022 (+15.4%).
- Quarterly Accumulated Expenses has moved between $39 million (fiscal Q2 2025) and $60.85 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in six of the last eight quarters, with growth averaging 11.5%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2025 (growth of 34.2%); the worst was fiscal Q4 2023 (a decline of 17.8%).
- Per Business Quant data, DOMO's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $44.12 million (Q1 2027), $60.85 million (Q4 2026) and $52.11 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 48.10 Mn |
| Apr 30, 2026 | 44.12 Mn |
| Jan 31, 2026 | 60.85 Mn |
| Oct 31, 2025 | 52.11 Mn |
| Jul 31, 2025 | 44.66 Mn |
| Apr 30, 2025 | 49.78 Mn |
| Jan 31, 2025 | 49.70 Mn |
| Oct 31, 2024 | 58.39 Mn |
| Jul 31, 2024 | 39.00 Mn |
| Apr 30, 2024 | 41.14 Mn |
| Jan 31, 2024 | 43.43 Mn |
| Oct 31, 2023 | 43.51 Mn |
| Jul 31, 2023 | 44.85 Mn |
| Apr 30, 2023 | 39.66 Mn |
| Jan 31, 2023 | 49.31 Mn |
| Oct 31, 2022 | 45.93 Mn |
| Jul 31, 2022 | 43.36 Mn |
| Apr 30, 2022 | 45.03 Mn |
| Jan 31, 2022 | 59.98 Mn |
| Oct 31, 2021 | 44.90 Mn |
API Access
Huckleberry.ai Accumulated Expenses 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=accumulated-expenses&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();