Target Group Inc. (CBDY) Operating Expenses (2013 - 2026)
Target (CBDY) posted Operating Expenses of $611,741 for Q2 2026, up 0.6% from $608,294 a year earlier and up 21.9% from the prior quarter.
Target Group Inc. (CBDY) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Target was $2.18 million, down 15.2% year-over-year; for FY2025, it was $2.29 million, down 12.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- In prior years, Target's Operating Expenses was $2.61 million in FY2024 (+25.0%), $2.09 million in FY2023 (+68.3%), $1.24 million in FY2022 (-8.2%) and $1.35 million in FY2021 (-14.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 5.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 306.1%; the weakest was Q4 2021, with a decline of 53.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $501,674 (Q1 2026), $543,973 (Q4 2025) and $520,011 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 611,741.00 |
| Mar 31, 2026 | 501,674.00 |
| Dec 31, 2025 | 543,973.00 |
| Sep 30, 2025 | 520,011.00 |
| Jun 30, 2025 | 608,294.00 |
| Mar 31, 2025 | 617,253.00 |
| Dec 31, 2024 | 735,936.00 |
| Sep 30, 2024 | 605,888.00 |
| Jun 30, 2024 | 567,671.00 |
| Mar 31, 2024 | 699,013.00 |
| Dec 31, 2023 | 596,650.00 |
| Sep 30, 2023 | 648,489.00 |
| Jun 30, 2023 | 500,448.00 |
| Mar 31, 2023 | 340,712.00 |
| Dec 31, 2022 | 146,912.56 |
| Sep 30, 2022 | 278,507.00 |
| Jun 30, 2022 | 286,490.00 |
| Mar 31, 2022 | 348,193.00 |
| Dec 31, 2021 | 208,081.00 |
| Sep 30, 2021 | 427,414.00 |
Target Group Inc. Operating 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=operating-expenses&ticker=CBDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CBDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();