Kimberly Clark (KMB) Total Liabilities (2009 - 2026)
Kimberly Clark (KMB) reported Total Liabilities of $16.68 billion for Q2 2026, up 8.5% from $15.37 billion a year earlier and up 9.2% from the prior quarter.
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Analysis
Kimberly Clark (KMB) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Kimberly Clark posted Total Liabilities of $15.47 billion, down 0.7% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $15.57 billion in FY2024 (-4.3%), $16.28 billion in FY2023 (-5.8%), $17.27 billion in FY2022 (+1.0%) and $17.1 billion in FY2021 (+2.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q2 2023.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 1.2%.
- The high point for year-over-year Total Liabilities in five years was Q2 2026 (growth of 8.5%); the low point was Q1 2024 (a decline of 8.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.27 billion (Q1 2026), $15.47 billion (Q4 2025) and $15.42 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 77.80 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 16.10 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 15.93 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 16.51 Bn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 14.65 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 4.85 Bn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 7.71 Bn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 1.34 Bn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 2.78 Bn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | 6.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.65 Bn |
| Jun 30, 2026 | 16.68 Bn |
| Mar 31, 2026 | 15.27 Bn |
| Dec 31, 2025 | 15.47 Bn |
| Sep 30, 2025 | 15.42 Bn |
| Jun 30, 2025 | 15.37 Bn |
| Mar 31, 2025 | 15.08 Bn |
| Dec 31, 2024 | 15.57 Bn |
| Sep 30, 2024 | 15.72 Bn |
| Jun 30, 2024 | 16.00 Bn |
| Mar 31, 2024 | 15.91 Bn |
| Dec 31, 2023 | 16.28 Bn |
| Sep 30, 2023 | 16.31 Bn |
| Jun 30, 2023 | 16.73 Bn |
| Mar 31, 2023 | 17.32 Bn |
| Dec 31, 2022 | 17.27 Bn |
| Sep 30, 2022 | 17.25 Bn |
| Jun 30, 2022 | 17.37 Bn |
| Mar 31, 2022 | 17.82 Bn |
| Dec 31, 2021 | 17.10 Bn |
API Access
Kimberly Clark Total Liabilities 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=total-liabilities&ticker=KMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();