Target (CBDY) Interest Paid (2016 - 2025)
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Analysis
Target (CBDY) Interest Paid (2016 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,026.00 |
| Sep 30, 2025 | 12,235.00 |
| Jun 30, 2025 | 508,232.00 |
| Mar 31, 2025 | 1.08 Mn |
| Dec 31, 2024 | -6,317.00 |
| Sep 30, 2024 | -1,257.00 |
| Jun 30, 2024 | -6,839.00 |
| Mar 31, 2024 | 947,901.00 |
| Dec 31, 2023 | 2,675.00 |
| Dec 31, 2022 | 29,533.00 |
| Sep 30, 2022 | 18,178.00 |
| Jun 30, 2022 | 2.08 Mn |
| Dec 31, 2021 | 7,544.00 |
| Sep 30, 2021 | 1,622.00 |
| Jun 30, 2021 | 471,412.00 |
| Dec 31, 2020 | 46,517.00 |
| Sep 30, 2020 | 209,265.00 |
| Jun 30, 2020 | 10,236.00 |
| Jun 30, 2019 | 11,579.00 |
| Mar 31, 2019 | 10,820.00 |
API Access
Target Interest Paid 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=interest-paid&ticker=CBDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-paid", "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=interest-paid&ticker=CBDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();