Kimberly Clark (KMB) Operating Margin (2009 - 2026)
Kimberly Clark's Operating Margin came in at 15.11% for Q2 2026, up 0.89 percentage points from 14.22% a year earlier but down 2.98 percentage points from the prior quarter.
Kimberly Clark (KMB) Operating Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Kimberly Clark reported Operating Margin of 15.16%, down 1.05 percentage points year-over-year; for FY2025, it was 14.29%, down 1.77 percentage points from FY2024.
- Operating Margin carries a five-year change of -2.65 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 16.07% in FY2024 (+4.82 pp), 11.24% in FY2023 (-2.04 pp), 13.29% in FY2022 (+0.11 pp) and 13.17% in FY2021 (-3.77 pp).
- The five-year range for quarterly Operating Margin is 2.20% (Q2 2023) to 24.76% (Q3 2024).
- Year-over-year, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of -0.25 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q2 2024 (a gain of 10.54 percentage points), and the weakest in Q2 2023 (a drop of 9.98 percentage points).
- Business Quant data shows KMB's Operating Margin at 18.09% (Q1 2026), 12.43% (Q4 2025) and 14.96% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 18.63% |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 18.95% |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | -1.08% |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 17.67% |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 15.11% |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 18.07% |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 24.33% |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 21.37% |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 14.62% |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 14.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.11% |
| Mar 31, 2026 | 18.09% |
| Dec 31, 2025 | 12.43% |
| Sep 30, 2025 | 14.96% |
| Jun 30, 2025 | 14.22% |
| Mar 31, 2025 | 15.56% |
| Dec 31, 2024 | 10.23% |
| Sep 30, 2024 | 24.76% |
| Jun 30, 2024 | 12.74% |
| Mar 31, 2024 | 19.72% |
| Dec 31, 2023 | 15.07% |
| Sep 30, 2023 | 15.08% |
| Jun 30, 2023 | 2.20% |
| Mar 31, 2023 | 15.13% |
| Dec 31, 2022 | 14.34% |
| Sep 30, 2022 | 12.84% |
| Jun 30, 2022 | 12.18% |
| Mar 31, 2022 | 13.59% |
| Dec 31, 2021 | 10.55% |
| Sep 30, 2021 | 13.11% |
Kimberly Clark Operating Margin 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-margin&ticker=KMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();