High Tide (HITI) Change in Accured Expenses (2023 - 2025)
High Tide's Change in Accured Expenses was $1.32 million in fiscal Q2 2025 (quarter ended Apr 30, 2025), down 65.8% from $3.87 million a year earlier.
High Tide (HITI) Change in Accured Expenses (2023 - 2025) Analysis & Trends
On a trailing twelve-month basis, High Tide's Change in Accured Expenses was $6.1 million through Apr 30, 2025; for FY2024 (ended Oct 31, 2024), it came in at $1.69 million.
- In earlier fiscal years, Change in Accured Expenses was -$3.96 million in FY2023.
- Quarterly Change in Accured Expenses has moved between -$4.45 million (fiscal Q2 2023) and $3.87 million (fiscal Q2 2024) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 292.24 Bn | 273.81 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 121.70 Bn | 100.85 Bn | - | - |
| 3 | Altria | 112.46 Bn | 98.66 Bn | 3.82 Bn | - |
| 4 | Curaleaf Holdings | 2.67 Bn | 2.27 Bn | 169.91 Mn | 11.77 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | - |
| 6 | Trulieve Cannabis | 2.06 Bn | 674.09 Mn | 162.29 Mn | 5.35 Mn |
| 7 | Green Thumb Industries | 1.30 Bn | 155.26 Mn | 137.87 Mn | -10.06 Mn |
| 8 | Cronos | 1.19 Bn | -2.03 Bn | 28.45 Mn | 4.66 Mn |
| 9 | Turning Point Brands | 1.12 Bn | 246.72 Mn | 93.70 Mn | 21.67 Mn |
| 10 | High Tide | 229.43 Mn | 127.72 Mn | 34.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2025 | 1.32 Mn |
| Jan 31, 2025 | -1.35 Mn |
| Oct 31, 2024 | 2.26 Mn |
| Apr 30, 2024 | 3.87 Mn |
| Jan 31, 2024 | -3.98 Mn |
| Oct 31, 2023 | 244,110.48 |
| Apr 30, 2023 | -4.45 Mn |
| Jan 31, 2023 | 113,433.35 |
High Tide Change in Accured Expenses 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=change-in-accured-expenses&ticker=HITI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "HITI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=HITI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();