Huckleberry.ai (DOMO) Non-Current Assets (2018 - 2026)
Huckleberry.ai (DOMO) reported Non-Current Assets of $75.29 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 3.9% from $78.31 million a year earlier and down 5.2% from the prior quarter.
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Analysis
Huckleberry.ai (DOMO) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai posted Non-Current Assets of $81.98 million, up 12.8% from FY2025.
- Non-Current Assets has a five-year compound annual growth rate of 9.8% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $72.66 million in FY2025 (+1.0%), $71.92 million in FY2024 (-1.9%), $73.3 million in FY2023 (+2.5%) and $71.49 million in FY2022 (+39.5%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Non-Current Assets since fiscal Q1 2026.
- Year over year, Non-Current Assets gained in six of the last eight quarters, with growth averaging 5.8%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q4 2022 (growth of 39.5%); the low point was fiscal Q2 2025 (a decline of 4.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $79.44 million (Q1 2027), $81.98 million (Q4 2026) and $78.89 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 579.05 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 247.63 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 61.56 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 87.54 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 23.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 10.63 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 21.48 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 49.89 Bn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn | 75.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 75.29 Mn |
| Apr 30, 2026 | 79.44 Mn |
| Jan 31, 2026 | 81.98 Mn |
| Oct 31, 2025 | 78.89 Mn |
| Jul 31, 2025 | 78.31 Mn |
| Apr 30, 2025 | 72.58 Mn |
| Jan 31, 2025 | 72.66 Mn |
| Oct 31, 2024 | 69.74 Mn |
| Jul 31, 2024 | 68.93 Mn |
| Apr 30, 2024 | 70.24 Mn |
| Jan 31, 2024 | 71.92 Mn |
| Oct 31, 2023 | 71.95 Mn |
| Jul 31, 2023 | 72.14 Mn |
| Apr 30, 2023 | 72.18 Mn |
| Jan 31, 2023 | 73.30 Mn |
| Oct 31, 2022 | 70.33 Mn |
| Jul 31, 2022 | 70.66 Mn |
| Apr 30, 2022 | 70.69 Mn |
| Jan 31, 2022 | 71.49 Mn |
| Oct 31, 2021 | 66.88 Mn |
API Access
Huckleberry.ai Non-Current Assets 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=non-current-assets&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();