Huckleberry.ai (DOMO) Depreciation and Depletion (2017 - 2026)
Huckleberry.ai (DOMO) reported Depreciation and Depletion of $2.33 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.1% from $2.31 million a year earlier but down 11.2% from the prior quarter.
Huckleberry.ai (DOMO) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Huckleberry.ai's Depreciation and Depletion came in at $9.9 million, up 5.8% year-over-year; for FY2024 (ended Jan 31, 2024), it came in at $6.62 million, up 25.2% from FY2023.
- Depreciation and Depletion has a five-year compound annual growth rate of -5.5% (FY2019 to FY2024).
- By fiscal year, Depreciation and Depletion came in at $5.29 million in FY2023 (-1.4%), $5.36 million in FY2022 (+12.5%), $4.77 million in FY2021 (-31.1%) and $6.92 million in FY2020 (-21.3%).
- Five-year quarterly Depreciation and Depletion spans a low of $1.2 million in fiscal Q4 2023 and a high of $2.64 million in fiscal Q3 2026.
- Year over year, Depreciation and Depletion gained in four of the last six quarters, with growth averaging 9.9%.
- The high point for year-over-year Depreciation and Depletion in five years was fiscal Q1 2025 (growth of 58.0%); the low point was fiscal Q4 2023 (a decline of 23.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 3.20 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | - |
| 10 | Huckleberry.ai | 141.82 Mn | -13.20 Mn | 59.22 Mn | 2.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.33 Mn |
| Apr 30, 2026 | 2.63 Mn |
| Oct 31, 2025 | 2.64 Mn |
| Jul 31, 2025 | 2.31 Mn |
| Apr 30, 2025 | 2.29 Mn |
| Oct 31, 2024 | 2.25 Mn |
| Jul 31, 2024 | 2.51 Mn |
| Apr 30, 2024 | 2.36 Mn |
| Jan 31, 2024 | 1.88 Mn |
| Oct 31, 2023 | 1.64 Mn |
| Jul 31, 2023 | 1.61 Mn |
| Apr 30, 2023 | 1.49 Mn |
| Jan 31, 2023 | 1.20 Mn |
| Oct 31, 2022 | 1.27 Mn |
| Jul 31, 2022 | 1.21 Mn |
| Apr 30, 2022 | 1.61 Mn |
| Jan 31, 2022 | 1.57 Mn |
| Oct 31, 2021 | 1.53 Mn |
| Jul 31, 2021 | 1.23 Mn |
| Apr 30, 2021 | 1.03 Mn |
Huckleberry.ai Depreciation and Depletion 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=depreciation-and-depletion&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();