Huckleberry.ai (DOMO) Cost of Revenue (2017 - 2026)
Huckleberry.ai's Cost of Revenue was $17.56 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 12.5% from $20.08 million a year earlier and down 15.8% from the prior quarter.
Powered by 
Analysis
Huckleberry.ai (DOMO) Cost of Revenue (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Huckleberry.ai's Cost of Revenue was $77.41 million through Jul 31, 2026, down 4.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $79.74 million, down 1.6% from FY2025.
- Cost of Revenue shows a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $80.99 million in FY2025 (+7.3%), $75.47 million in FY2024 (+3.3%), $73.08 million in FY2023 (+8.8%) and $67.15 million in FY2022 (+18.3%).
- The fiscal Q2 2027 figure marks the lowest quarterly Cost of Revenue since fiscal Q3 2022.
- Compared with a year earlier, Cost of Revenue was higher in four of the last eight quarters, with an average decline of 0.7%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q4 2022 (growth of 27.7%); the worst was fiscal Q2 2027 (a decline of 12.5%).
- Per Business Quant data, DOMO's Cost of Revenue in the three fiscal quarters before Q2 2027 was $20.86 million (Q1 2027), $18.49 million (Q4 2026) and $20.5 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Huckleberry.ai | 141.82 Mn | -13.20 Mn | 59.22 Mn | 17.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.56 Mn |
| Apr 30, 2026 | 20.86 Mn |
| Jan 31, 2026 | 18.49 Mn |
| Oct 31, 2025 | 20.50 Mn |
| Jul 31, 2025 | 20.08 Mn |
| Apr 30, 2025 | 20.67 Mn |
| Jan 31, 2025 | 20.19 Mn |
| Oct 31, 2024 | 19.96 Mn |
| Jul 31, 2024 | 20.12 Mn |
| Apr 30, 2024 | 20.71 Mn |
| Jan 31, 2024 | 19.04 Mn |
| Oct 31, 2023 | 18.78 Mn |
| Jul 31, 2023 | 19.09 Mn |
| Apr 30, 2023 | 18.57 Mn |
| Jan 31, 2023 | 18.19 Mn |
| Oct 31, 2022 | 18.91 Mn |
| Jul 31, 2022 | 18.31 Mn |
| Apr 30, 2022 | 17.66 Mn |
| Jan 31, 2022 | 18.53 Mn |
| Oct 31, 2021 | 17.14 Mn |
API Access
Huckleberry.ai Cost of Revenue 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=cost-of-revenue&ticker=DOMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DOMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();