Kkr (KKRS) Interest Expenses (2010 - 2026)
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Analysis
Kkr (KKRS) Interest Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 702.75 Mn |
| Mar 31, 2026 | 678.19 Mn |
| Dec 31, 2025 | 692.14 Mn |
| Sep 30, 2025 | 722.91 Mn |
| Jun 30, 2025 | 707.39 Mn |
| Mar 31, 2025 | 654.50 Mn |
| Dec 31, 2024 | 774.89 Mn |
| Sep 30, 2024 | 721.94 Mn |
| Jun 30, 2024 | 783.25 Mn |
| Mar 31, 2024 | 754.06 Mn |
| Dec 31, 2023 | 751.30 Mn |
| Sep 30, 2023 | 724.34 Mn |
| Jun 30, 2023 | 720.11 Mn |
| Mar 31, 2023 | 576.34 Mn |
| Dec 31, 2022 | 548.77 Mn |
| Sep 30, 2022 | 391.52 Mn |
| Jun 30, 2022 | 328.73 Mn |
| Mar 31, 2022 | 281.76 Mn |
| Dec 31, 2021 | 275.39 Mn |
| Sep 30, 2021 | 278.17 Mn |
API Access
Kkr Interest 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=interest-expenses&ticker=KKRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "KKRS", "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-expenses&ticker=KKRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();