Huckleberry.ai (DOMO) Other Operating Expenses (2017 - 2026)
Huckleberry.ai (DOMO) recorded Other Operating Expenses of $28.87 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 18.2% from $35.3 million a year earlier and down 23.2% from the prior quarter.
Huckleberry.ai (DOMO) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Huckleberry.ai's Other Operating Expenses came in at $133.3 million as of Jul 31, 2026, down 9.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $141.81 million, down 6.4% from FY2025.
- Annual Other Operating Expenses has declined for three straight fiscal years, though with a five-year compound annual growth rate of 3.9% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $151.51 million in FY2025 (-7.6%), $163.9 million in FY2024 (-5.4%), $173.3 million in FY2023 (+20.6%) and $143.72 million in FY2022 (+22.5%).
- The fiscal Q2 2027 figure is the lowest quarterly Other Operating Expenses since fiscal Q2 2021.
- On a year-over-year basis, Other Operating Expenses has declined for 14 consecutive quarters, with an average decline of 8.4% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 36.3% in fiscal Q1 2023, against a decline of 18.2% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $37.58 million (Q1 2027), $32.73 million (Q4 2026) and $34.12 million (Q3 2026).
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 28.87 Mn |
| Apr 30, 2026 | 37.58 Mn |
| Jan 31, 2026 | 32.73 Mn |
| Oct 31, 2025 | 34.12 Mn |
| Jul 31, 2025 | 35.30 Mn |
| Apr 30, 2025 | 39.66 Mn |
| Jan 31, 2025 | 35.47 Mn |
| Oct 31, 2024 | 37.19 Mn |
| Jul 31, 2024 | 36.63 Mn |
| Apr 30, 2024 | 42.22 Mn |
| Jan 31, 2024 | 39.44 Mn |
| Oct 31, 2023 | 40.26 Mn |
| Jul 31, 2023 | 41.04 Mn |
| Apr 30, 2023 | 43.16 Mn |
| Jan 31, 2023 | 42.00 Mn |
| Oct 31, 2022 | 41.01 Mn |
| Jul 31, 2022 | 44.70 Mn |
| Apr 30, 2022 | 45.59 Mn |
| Jan 31, 2022 | 39.39 Mn |
| Oct 31, 2021 | 37.50 Mn |
Huckleberry.ai Other Operating 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=other-operating-expenses&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();