Centerspace (CSR) Interest Expense (2010 - 2026)
Analysis
Centerspace (CSR) Interest Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.62 Mn |
| Mar 31, 2026 | 10.47 Mn |
| Dec 31, 2025 | 11.54 Mn |
| Jun 30, 2025 | 10.72 Mn |
| Mar 31, 2025 | 9.64 Mn |
| Dec 31, 2024 | 9.80 Mn |
| Sep 30, 2024 | 8.95 Mn |
| Jun 30, 2024 | 9.33 Mn |
| Mar 31, 2024 | 9.21 Mn |
| Dec 31, 2023 | 8.91 Mn |
| Jun 30, 2023 | 8.64 Mn |
| Dec 31, 2022 | 9.60 Mn |
| Sep 30, 2022 | 7.87 Mn |
| Jun 30, 2022 | 7.56 Mn |
| Mar 31, 2022 | 7.72 Mn |
| Dec 31, 2021 | 7.46 Mn |
| Sep 30, 2021 | 7.30 Mn |
| Jun 30, 2021 | 7.09 Mn |
| Mar 31, 2021 | 7.23 Mn |
| Sep 30, 2020 | 6.77 Mn |
API Access
Centerspace Interest Expense 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-expense&ticker=CSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "ticker": "CSR", "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-expense&ticker=CSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();