Target Group Inc. (CBDY) Other Accumulated Expenses (2014 - 2026)
Target (CBDY) posted Other Accumulated Expenses of $980,857 for Q2 2026, up 54.6% from $634,405 a year earlier and up 8.5% from the prior quarter.
Analysis
Target Group Inc. (CBDY) Other Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Target's Other Accumulated Expenses came in at $824,738.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -21.9% (FY2020 to FY2025).
- In prior years, Target's Other Accumulated Expenses was $48,581 in FY2023 (+37.8%), $35,254 in FY2022 (-96.6%) and $1.04 million in FY2021 (-63.4%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses since Q1 2023.
- On a year-over-year basis, Other Accumulated Expenses increased in three of the last six quarters, with growth averaging 23.5%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2022, with growth of 226.9%; the weakest was Q4 2022, with a decline of 96.6%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $904,411 (Q1 2026), $824,738 (Q4 2025) and $717,344 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 980,857.00 |
| Mar 31, 2026 | 904,411.00 |
| Dec 31, 2025 | 824,738.00 |
| Sep 30, 2025 | 717,344.00 |
| Jun 30, 2025 | 634,405.00 |
| Mar 31, 2025 | 509,398.00 |
| Sep 30, 2024 | 904,001.00 |
| Jun 30, 2024 | 794,255.00 |
| Mar 31, 2024 | 704,016.00 |
| Dec 31, 2023 | 48,581.00 |
| Sep 30, 2023 | 510,688.00 |
| Jun 30, 2023 | 438,434.00 |
| Mar 31, 2023 | 4.97 Mn |
| Dec 31, 2022 | 35,254.00 |
| Sep 30, 2022 | 4.31 Mn |
| Jun 30, 2022 | 2.53 Mn |
| Mar 31, 2022 | 1.65 Mn |
| Dec 31, 2021 | 1.04 Mn |
| Sep 30, 2021 | 1.32 Mn |
| Jun 30, 2021 | 2.18 Mn |
API Access
Target Group Inc. Other Accumulated 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=other-accumulated-expenses&ticker=CBDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CBDY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=CBDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();