Huckleberry.ai (DOMO) Capital Expenditures (2017 - 2026)
Huckleberry.ai (DOMO) recorded Capital Expenditures of $1.68 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 28.7% from $2.35 million a year earlier and down 9.0% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Capital Expenditures (2017 - 2026) Analysis & Trends
On a TTM basis, Huckleberry.ai's Capital Expenditures came in at $8.19 million as of Jul 31, 2026, down 18.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $9.95 million, up 5.4% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $9.45 million in FY2025 (-19.5%), $11.73 million in FY2024 (+46.7%), $8 million in FY2023 (+22.7%) and $6.52 million in FY2022 (+14.2%).
- The fiscal Q2 2027 figure is the lowest quarterly Capital Expenditures since fiscal Q3 2023.
- On a year-over-year basis, Capital Expenditures rose in three of the last eight quarters, with an average decline of 8.0%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 97.7% in fiscal Q2 2024, against a decline of 37.1% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.84 million (Q1 2027), $2.39 million (Q4 2026) and $2.29 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 14.55 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 28.50 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | -134.83 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 171.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 114.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 72.80 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 27.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 1.77 Mn |
| 10 | Huckleberry.ai | 145.33 Mn | -9.70 Mn | 59.22 Mn | 1.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.68 Mn |
| Apr 30, 2026 | 1.84 Mn |
| Jan 31, 2026 | 2.39 Mn |
| Oct 31, 2025 | 2.29 Mn |
| Jul 31, 2025 | 2.35 Mn |
| Apr 30, 2025 | 2.93 Mn |
| Jan 31, 2025 | 2.20 Mn |
| Oct 31, 2024 | 2.52 Mn |
| Jul 31, 2024 | 2.20 Mn |
| Apr 30, 2024 | 2.53 Mn |
| Jan 31, 2024 | 2.52 Mn |
| Oct 31, 2023 | 2.71 Mn |
| Jul 31, 2023 | 2.92 Mn |
| Apr 30, 2023 | 3.58 Mn |
| Jan 31, 2023 | 2.92 Mn |
| Oct 31, 2022 | 1.66 Mn |
| Jul 31, 2022 | 1.48 Mn |
| Apr 30, 2022 | 1.94 Mn |
| Jan 31, 2022 | 1.55 Mn |
| Oct 31, 2021 | 1.55 Mn |
API Access
Huckleberry.ai Capital Expenditures 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=capital-expenditures&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();