Weed (BUDZ) Change in Accured Expenses (2010 - 2026)
Weed's Change in Accured Expenses came in at $61,791 for Q2 2026, up 14.5% from $53,967 a year earlier but down 15.8% from the prior quarter.
Weed (BUDZ) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Weed reported Change in Accured Expenses of $246,743, up 43.1% year-over-year; for FY2025, it was $209,963, up 374.8% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $44,223 in FY2024, -$223,144 in FY2023, $86,085 in FY2022 (-23.1%) and $111,949 in FY2021 (-35.1%).
- The five-year range for quarterly Change in Accured Expenses is -$206,812 (Q3 2023) to $167,635 (Q2 2024).
- Year-over-year, Change in Accured Expenses has increased for four consecutive quarters, with growth averaging 28.6% over the last five quarters.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2024 (growth of 800.7%), and the weakest in Q4 2022 (a decline of 83.2%).
- Business Quant data shows BUDZ's Change in Accured Expenses at $73,412 (Q1 2026), $57,514 (Q4 2025) and $54,026 (Q3 2025) in the three quarters before Q2 2026.
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 | Weed | 2.72 Mn | 2.68 Mn | - | 61,791.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61,791.00 |
| Mar 31, 2026 | 73,412.00 |
| Dec 31, 2025 | 57,514.00 |
| Sep 30, 2025 | 54,026.00 |
| Jun 30, 2025 | 53,967.00 |
| Mar 31, 2025 | 44,456.00 |
| Dec 31, 2024 | 26,394.00 |
| Sep 30, 2024 | 47,665.00 |
| Jun 30, 2024 | 167,635.00 |
| Mar 31, 2024 | -197,471.00 |
| Dec 31, 2023 | -25,673.00 |
| Sep 30, 2023 | -206,812.00 |
| Jun 30, 2023 | 18,612.00 |
| Mar 31, 2023 | -9,271.00 |
| Dec 31, 2022 | 7,789.00 |
| Sep 30, 2022 | 23,835.00 |
| Jun 30, 2022 | 19,111.00 |
| Mar 31, 2022 | 35,350.00 |
| Dec 31, 2021 | 46,294.00 |
| Sep 30, 2021 | 25,044.00 |
Weed 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=BUDZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BUDZ", "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=BUDZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();