Huckleberry.ai (HUCK) Amortization of Deferred Charges (2017 - 2026)
Huckleberry.ai (HUCK) recorded Amortization of Deferred Charges of $4.8 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.3% from $4.6 million a year earlier but down 4.0% from the prior quarter.
Huckleberry.ai (HUCK) Amortization of Deferred Charges (2017 - 2026) Analysis & Trends
On a TTM basis, Huckleberry.ai's Amortization of Deferred Charges came in at $19.61 million as of Jul 31, 2026, up 9.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $18.91 million, up 7.9% from FY2025.
- Annual Amortization of Deferred Charges has a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- Across earlier fiscal years, Amortization of Deferred Charges came in at $17.52 million in FY2025 (-1.4%), $17.77 million in FY2024 (+4.9%), $16.94 million in FY2023 (+7.0%) and $15.84 million in FY2022 (+10.1%).
- Quarterly Amortization of Deferred Charges has ranged from $4 million in fiscal Q3 2022 to $5 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Amortization of Deferred Charges has increased for six consecutive quarters, with growth averaging 6.0% over the last eight quarters.
- Peak year-over-year performance for Amortization of Deferred Charges in the last five years was growth of 13.6% in fiscal Q4 2026, against a decline of 6.5% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5 million (Q1 2027), $4.91 million (Q4 2026) and $4.9 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.48 Bn | 1.64 Bn |
| 2 | Oracle | 379.54 Bn | 252.10 Bn | - |
| 3 | Sap Se | 295.84 Bn | 224.19 Bn | 8.40 Bn |
| 4 | Salesforce | 205.95 Bn | 161.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 162.33 Bn | 140.79 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 122.50 Bn | 104.63 Bn | 2.51 Bn |
| 7 | Intuit | 95.25 Bn | 74.60 Bn | 3.44 Bn |
| 8 | Relx | 73.89 Bn | 73.01 Bn | - |
| 9 | Thomson Reuters | 54.85 Bn | 51.63 Bn | - |
| 10 | Huckleberry.ai | 134.82 Mn | -20.20 Mn | 59.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.80 Mn |
| Apr 30, 2026 | 5.00 Mn |
| Jan 31, 2026 | 4.91 Mn |
| Oct 31, 2025 | 4.90 Mn |
| Jul 31, 2025 | 4.60 Mn |
| Apr 30, 2025 | 4.50 Mn |
| Jan 31, 2025 | 4.32 Mn |
| Oct 31, 2024 | 4.50 Mn |
| Jul 31, 2024 | 4.40 Mn |
| Apr 30, 2024 | 4.30 Mn |
| Jan 31, 2024 | 4.37 Mn |
| Oct 31, 2023 | 4.40 Mn |
| Jul 31, 2023 | 4.40 Mn |
| Apr 30, 2023 | 4.60 Mn |
| Jan 31, 2023 | 4.12 Mn |
| Oct 31, 2022 | 4.20 Mn |
| Jul 31, 2022 | 4.30 Mn |
| Apr 30, 2022 | 4.31 Mn |
| Jan 31, 2022 | 4.04 Mn |
| Oct 31, 2021 | 4.00 Mn |
Huckleberry.ai Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=HUCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "ticker": "HUCK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-of-deferred-charges&ticker=HUCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();