Kkr (KKR) Operating Expenses (2010 - 2026)
Kkr (KKR) posted Operating Expenses of $5.41 billion for Q2 2026, up 13.9% from $4.75 billion a year earlier and up 39.7% from the prior quarter.
Kkr (KKR) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Kkr was $19.71 billion, up 20.9% year-over-year; for FY2025, it was $19.01 billion, down 9.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 45.3% (FY2020 to FY2025).
- In prior years, Kkr's Operating Expenses was $20.99 billion in FY2024 (+69.8%), $12.36 billion in FY2023 (+106.1%), $6 billion in FY2022 (-46.5%) and $11.21 billion in FY2021 (+282.3%).
- Quarterly Operating Expenses has run from a low of $564.7 million in Q2 2022 to a high of $9.31 billion in Q1 2024 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 17.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 453.0%; the weakest was Q2 2022, with a decline of 71.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.87 billion (Q1 2026), $5.41 billion (Q4 2025) and $5.02 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.57 Bn | 111.92 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 134.78 Bn | -423.22 Bn | - | 149.76 Mn |
| 3 | Blackstone | 85.82 Bn | 80.74 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.68 Bn | 50.16 Bn | - | 5.41 Bn |
| 5 | Brookfield | 82.01 Bn | -83.38 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.83 Bn | 68.08 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.53 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.44 Bn | 56.87 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.81 Bn | 45.18 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Ameriprise Financial | 43.92 Bn | 5.34 Bn | 4.72 Bn | 3.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.41 Bn |
| Mar 31, 2026 | 3.87 Bn |
| Dec 31, 2025 | 5.41 Bn |
| Sep 30, 2025 | 5.02 Bn |
| Jun 30, 2025 | 4.75 Bn |
| Mar 31, 2025 | 3.83 Bn |
| Dec 31, 2024 | 2.98 Bn |
| Sep 30, 2024 | 4.75 Bn |
| Jun 30, 2024 | 3.95 Bn |
| Mar 31, 2024 | 9.31 Bn |
| Dec 31, 2023 | 4.06 Bn |
| Sep 30, 2023 | 2.32 Bn |
| Jun 30, 2023 | 3.12 Bn |
| Mar 31, 2023 | 2.86 Bn |
| Dec 31, 2022 | 2.40 Bn |
| Sep 30, 2022 | 1.67 Bn |
| Jun 30, 2022 | 564.70 Mn |
| Mar 31, 2022 | 1.36 Bn |
| Dec 31, 2021 | 2.94 Bn |
| Sep 30, 2021 | 3.19 Bn |
Kkr 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=KKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KKR", "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=KKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();