Huckleberry.ai (DOMO) Property, Plant & Equipment (Net) (2018 - 2026)
Huckleberry.ai (DOMO) posted Property, Plant & Equipment (Net) of $27.58 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.3% from $29.44 million a year earlier and down 2.4% from the prior quarter.
Huckleberry.ai (DOMO) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai's Property, Plant & Equipment (Net) came in at $28.97 million, up 1.2% from FY2025.
- Annual Property, Plant & Equipment (Net) has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 14.5% (FY2021 to FY2026).
- In prior fiscal years, Huckleberry.ai's Property, Plant & Equipment (Net) was $28.63 million in FY2025 (+6.0%), $27 million in FY2024 (+26.3%), $21.38 million in FY2023 (+21.6%) and $17.58 million in FY2022 (+19.3%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) increased in six of the last eight quarters, with growth averaging 3.1%.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was fiscal Q3 2024, with growth of 31.7%; the weakest was fiscal Q2 2027, with a decline of 6.3%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior fiscal quarters was $28.25 million (Q1 2027), $28.97 million (Q4 2026) and $29.27 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Huckleberry.ai | 141.82 Mn | -13.20 Mn | 59.22 Mn | 27.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 27.58 Mn |
| Apr 30, 2026 | 28.25 Mn |
| Jan 31, 2026 | 28.97 Mn |
| Oct 31, 2025 | 29.27 Mn |
| Jul 31, 2025 | 29.44 Mn |
| Apr 30, 2025 | 28.98 Mn |
| Jan 31, 2025 | 28.63 Mn |
| Oct 31, 2024 | 27.94 Mn |
| Jul 31, 2024 | 27.20 Mn |
| Apr 30, 2024 | 27.24 Mn |
| Jan 31, 2024 | 27.00 Mn |
| Oct 31, 2023 | 26.13 Mn |
| Jul 31, 2023 | 24.00 Mn |
| Apr 30, 2023 | 22.16 Mn |
| Jan 31, 2023 | 21.38 Mn |
| Oct 31, 2022 | 19.83 Mn |
| Jul 31, 2022 | 18.88 Mn |
| Apr 30, 2022 | 18.24 Mn |
| Jan 31, 2022 | 17.58 Mn |
| Oct 31, 2021 | 17.00 Mn |
Huckleberry.ai Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();