Huckleberry.ai (DOMO) Operating Leases (2020 - 2026)
Huckleberry.ai (DOMO) recorded Operating Leases of $2.54 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 67.8% from $7.89 million a year earlier and down 29.3% from the prior quarter.
Huckleberry.ai (DOMO) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Huckleberry.ai reported Operating Leases of $5.68 million, down 26.2% from FY2025.
- Annual Operating Leases has declined for four straight fiscal years, though with a five-year compound annual growth rate of 29.5% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Leases came in at $7.7 million in FY2025 (-30.9%), $11.14 million in FY2024 (-27.1%), $15.27 million in FY2023 (-8.9%) and $16.76 million in FY2022 (+976.9%).
- The fiscal Q2 2027 figure is the lowest quarterly Operating Leases since fiscal Q1 2022.
- On a year-over-year basis, Operating Leases has declined for 17 consecutive quarters, with an average decline of 34.0% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 976.9% in fiscal Q4 2022, against a decline of 67.8% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.59 million (Q1 2027), $5.68 million (Q4 2026) and $6.62 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Huckleberry.ai | 147.52 Mn | -7.51 Mn | 59.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.54 Mn |
| Apr 30, 2026 | 3.59 Mn |
| Jan 31, 2026 | 5.68 Mn |
| Oct 31, 2025 | 6.62 Mn |
| Jul 31, 2025 | 7.89 Mn |
| Apr 30, 2025 | 6.20 Mn |
| Jan 31, 2025 | 7.70 Mn |
| Oct 31, 2024 | 8.13 Mn |
| Jul 31, 2024 | 9.11 Mn |
| Apr 30, 2024 | 10.32 Mn |
| Jan 31, 2024 | 11.14 Mn |
| Oct 31, 2023 | 12.16 Mn |
| Jul 31, 2023 | 12.87 Mn |
| Apr 30, 2023 | 14.10 Mn |
| Jan 31, 2023 | 15.27 Mn |
| Oct 31, 2022 | 15.24 Mn |
| Jul 31, 2022 | 16.06 Mn |
| Apr 30, 2022 | 16.46 Mn |
| Jan 31, 2022 | 16.76 Mn |
| Oct 31, 2021 | 17.57 Mn |
Huckleberry.ai Operating Leases 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=operating-leases&ticker=DOMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();