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 | 346.43 Bn | 302.42 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 128.54 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 54.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 851.00 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();