Kimberly Clark (KMB) EBITDA (2009 - 2026)
Kimberly Clark (KMB) recorded EBITDA of $800 million in Q2 2026, down 1.7% from $814 million a year earlier and down 15.4% from the prior quarter.
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Analysis
Kimberly Clark (KMB) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Kimberly Clark's EBITDA came in at $3.24 billion as of Jun 30, 2026, down 7.9% year-over-year; for FY2025, it was $3.16 billion, down 9.3% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $3.48 billion in FY2024 (+29.8%), $2.68 billion in FY2023 (-22.0%), $3.44 billion in FY2022 (+3.2%) and $3.33 billion in FY2021 (-17.6%).
- Quarterly EBITDA has ranged from $302 million in Q2 2023 to $1.22 billion in Q3 2024 over the past five years.
- On a year-over-year basis, EBITDA rose in five of the last eight quarters, with growth averaging 6.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 140.7% in Q2 2024, against a decline of 62.9% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $946 million (Q1 2026), $696 million (Q4 2025) and $797 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 384.50 Bn | 336.06 Bn | 11.60 Bn | 6.75 Bn |
| 2 | Colgate Palmolive | 77.44 Bn | 71.92 Bn | 3.23 Bn | 1.25 Bn |
| 3 | Estee Lauder Companies | 41.16 Bn | 28.25 Bn | 2.81 Bn | 599.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 849.00 Mn |
| 5 | Kimberly Clark | 36.35 Bn | 32.29 Bn | 1.44 Bn | 700.00 Mn |
| 6 | Church & Dwight | 26.08 Bn | 24.46 Bn | 749.40 Mn | 468.20 Mn |
| 7 | Clorox | 12.33 Bn | 10.59 Bn | 770.00 Mn | 525.00 Mn |
| 8 | e.l.f. Beauty | 7.18 Bn | 6.00 Bn | 370.22 Mn | 76.96 Mn |
| 9 | Reynolds Consumer Products | 5.03 Bn | 4.72 Bn | 236.00 Mn | 163.00 Mn |
| 10 | Bath & Body Works | 4.74 Bn | 1.94 Bn | 692.00 Mn | 275.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 700.00 Mn |
| Jun 30, 2026 | 800.00 Mn |
| Mar 31, 2026 | 946.00 Mn |
| Dec 31, 2025 | 696.00 Mn |
| Sep 30, 2025 | 797.00 Mn |
| Jun 30, 2025 | 814.00 Mn |
| Mar 31, 2025 | 849.00 Mn |
| Dec 31, 2024 | 637.00 Mn |
| Sep 30, 2024 | 1.22 Bn |
| Jun 30, 2024 | 727.00 Mn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 441.00 Mn |
| Sep 30, 2023 | 963.00 Mn |
| Jun 30, 2023 | 302.00 Mn |
| Mar 31, 2023 | 975.00 Mn |
| Dec 31, 2022 | 898.00 Mn |
| Sep 30, 2022 | 843.00 Mn |
| Jun 30, 2022 | 813.00 Mn |
| Mar 31, 2022 | 881.00 Mn |
| Dec 31, 2021 | 715.00 Mn |
API Access
Kimberly Clark EBITDA 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=ebitda&ticker=KMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();