Kimberly Clark (KMB) Other Non-Current Liabilities (2009 - 2026)
Kimberly Clark (KMB) recorded Other Non-Current Liabilities of $622 million in Q2 2026, down 8.5% from $680 million a year earlier and down 0.2% from the prior quarter.
Kimberly Clark (KMB) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Kimberly Clark reported Other Non-Current Liabilities of $646 million, up 6.1% from FY2024.
- Annual Other Non-Current Liabilities has a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Across earlier years, Other Non-Current Liabilities came in at $609 million in FY2024 (-29.2%), $860 million in FY2023 (+7.6%), $799 million in FY2022 (+17.3%) and $681 million in FY2021 (-5.2%).
- The Q2 2026 figure is the lowest quarterly Other Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Other Non-Current Liabilities rose in 1 of the last eight quarters, with an average decline of 11.0%.
- Peak year-over-year performance for Other Non-Current Liabilities in the last five years was growth of 26.0% in Q2 2023, against a decline of 29.2% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $623 million (Q1 2026), $646 million (Q4 2025) and $653 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 622.00 Mn |
| Mar 31, 2026 | 623.00 Mn |
| Dec 31, 2025 | 646.00 Mn |
| Sep 30, 2025 | 653.00 Mn |
| Jun 30, 2025 | 680.00 Mn |
| Mar 31, 2025 | 683.00 Mn |
| Dec 31, 2024 | 609.00 Mn |
| Sep 30, 2024 | 751.00 Mn |
| Jun 30, 2024 | 784.00 Mn |
| Mar 31, 2024 | 796.00 Mn |
| Dec 31, 2023 | 860.00 Mn |
| Sep 30, 2023 | 809.00 Mn |
| Jun 30, 2023 | 848.00 Mn |
| Mar 31, 2023 | 810.00 Mn |
| Dec 31, 2022 | 799.00 Mn |
| Sep 30, 2022 | 695.00 Mn |
| Jun 30, 2022 | 673.00 Mn |
| Mar 31, 2022 | 716.00 Mn |
| Dec 31, 2021 | 681.00 Mn |
| Sep 30, 2021 | 657.00 Mn |
Kimberly Clark Other 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=other-non-current-liabilities&ticker=KMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();