Kimberly Clark (KMB) Non Operating Interest Expenses (2009 - 2026)
Kimberly Clark's Non Operating Interest Expenses came in at $53 million for Q2 2026, down 20.9% from $67 million a year earlier and down 8.6% from the prior quarter.
Kimberly Clark (KMB) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kimberly Clark reported Non Operating Interest Expenses of $236 million, down 9.9% year-over-year; for FY2025, it came in at $256 million, down 5.2% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $270 million in FY2024 (-7.8%), $293 million in FY2023 (+3.9%), $282 million in FY2022 (+10.2%) and $256 million in FY2021 (+1.6%).
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Year-over-year, Non Operating Interest Expenses has declined for 11 consecutive quarters, with an average decline of 8.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q4 2022 (growth of 18.8%), and the weakest in Q2 2026 (a decline of 20.9%).
- Business Quant data shows KMB's Non Operating Interest Expenses at $58 million (Q1 2026), $60 million (Q4 2025) and $65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 1.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.00 Mn |
| Mar 31, 2026 | 58.00 Mn |
| Dec 31, 2025 | 60.00 Mn |
| Sep 30, 2025 | 65.00 Mn |
| Jun 30, 2025 | 67.00 Mn |
| Mar 31, 2025 | 64.00 Mn |
| Dec 31, 2024 | 64.00 Mn |
| Sep 30, 2024 | 67.00 Mn |
| Jun 30, 2024 | 72.00 Mn |
| Mar 31, 2024 | 67.00 Mn |
| Dec 31, 2023 | 70.00 Mn |
| Sep 30, 2023 | 74.00 Mn |
| Jun 30, 2023 | 76.00 Mn |
| Mar 31, 2023 | 73.00 Mn |
| Dec 31, 2022 | 76.00 Mn |
| Sep 30, 2022 | 73.00 Mn |
| Jun 30, 2022 | 68.00 Mn |
| Mar 31, 2022 | 65.00 Mn |
| Dec 31, 2021 | 64.00 Mn |
| Sep 30, 2021 | 64.00 Mn |
Kimberly Clark Non Operating 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=non-operating-interest-expenses&ticker=KMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "KMB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();