Kimberly Clark (KMB) Total Non-Current Liabilities (2009 - 2026)
Kimberly Clark (KMB) reported Total Non-Current Liabilities of $16.06 billion for Q2 2026, up 9.3% from $14.69 billion a year earlier and up 9.6% from the prior quarter.
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Analysis
Kimberly Clark (KMB) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Kimberly Clark posted Total Non-Current Liabilities of $1.29 billion, up 9.3% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.18 billion in FY2024 (-30.2%), $1.69 billion in FY2023 (-3.7%), $1.75 billion in FY2022 (+31.3%) and $1.33 billion in FY2021 (-14.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 2.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 31.3%); the low point was Q4 2024 (a decline of 30.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.65 billion (Q1 2026), $1.29 billion (Q4 2025) and $14.77 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 15.61 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 9.73 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.06 Bn |
| Mar 31, 2026 | 14.65 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 14.77 Bn |
| Jun 30, 2025 | 14.69 Bn |
| Mar 31, 2025 | 14.40 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 14.97 Bn |
| Jun 30, 2024 | 15.22 Bn |
| Mar 31, 2024 | 15.11 Bn |
| Dec 31, 2023 | 1.69 Bn |
| Sep 30, 2023 | 15.50 Bn |
| Jun 30, 2023 | 15.88 Bn |
| Mar 31, 2023 | 16.51 Bn |
| Dec 31, 2022 | 1.75 Bn |
| Sep 30, 2022 | 16.56 Bn |
| Jun 30, 2022 | 16.70 Bn |
| Mar 31, 2022 | 17.10 Bn |
| Dec 31, 2021 | 1.33 Bn |
| Sep 30, 2021 | 16.41 Bn |
API Access
Kimberly Clark Total Non-Current 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-non-current-liabilities&ticker=KMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();