Target (CBDY) Change in Accrued Expenses (2013 - 2026)
Target (CBDY) posted Change in Accured Expenses of $250,207 for Q2 2026, down 19.2% from $309,568 a year earlier and down 4.8% from the prior quarter.
Target (CBDY) Change in Accrued Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Target was $1.04 million, up 120.5% year-over-year; for FY2025, it was $606,139, up 299.3% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior years, Target's Change in Accured Expenses was $151,810 in FY2024 (-84.5%), $981,699 in FY2023, -$466,139 in FY2022 and $1.42 million in FY2021 (+120.8%).
- Quarterly Change in Accured Expenses has run from a low of -$1.63 million in Q2 2022 to a high of $957,085 in Q2 2023 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last five quarters, with an average decline of 2.7%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2022, with growth of 277.3%; the weakest was Q3 2021, with a decline of 75.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $262,950 (Q1 2026), $384,631 (Q4 2025) and $146,465 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 250,207.00 |
| Mar 31, 2026 | 262,950.00 |
| Dec 31, 2025 | 384,631.00 |
| Sep 30, 2025 | 146,465.00 |
| Jun 30, 2025 | 309,568.00 |
| Mar 31, 2025 | -234,525.00 |
| Dec 31, 2024 | 279,301.00 |
| Sep 30, 2024 | 119,213.00 |
| Jun 30, 2024 | 316,741.00 |
| Mar 31, 2024 | -563,445.00 |
| Dec 31, 2023 | 591,443.00 |
| Sep 30, 2023 | -929,820.00 |
| Jun 30, 2023 | 957,085.00 |
| Mar 31, 2023 | 362,991.00 |
| Dec 31, 2022 | 435,759.00 |
| Sep 30, 2022 | 248,320.00 |
| Jun 30, 2022 | -1.63 Mn |
| Mar 31, 2022 | 483,587.00 |
| Dec 31, 2021 | 905,198.00 |
| Sep 30, 2021 | 65,822.00 |
Target Change in Accrued 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=CBDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CBDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();