Kimberly Clark (KMB) Long-Term Investments (2009 - 2026)
Kimberly Clark's Long-Term Investments was $381 million in Q2 2026, up 6.1% from $359 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Kimberly Clark (KMB) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Long-Term Investments at Kimberly Clark came in at $330 million, up 5.1% from FY2024.
- Long-Term Investments has now increased for three consecutive years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In earlier years, Long-Term Investments was $314 million in FY2024 (+2.6%), $306 million in FY2023 (+28.6%), $238 million in FY2022 (-17.9%) and $290 million in FY2021 (-3.3%).
- Quarterly Long-Term Investments has moved between $238 million (Q4 2022) and $383 million (Q1 2026) over five years.
- Compared with a year earlier, Long-Term Investments has increased for three straight quarters, with growth averaging 3.1% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was Q1 2024 (growth of 29.5%); the worst was Q1 2022 (a decline of 23.8%).
- Per Business Quant data, KMB's Long-Term Investments in the three quarters before Q2 2026 was $383 million (Q1 2026), $330 million (Q4 2025) and $355 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 381.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 12.10 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.00 Mn |
| Mar 31, 2026 | 383.00 Mn |
| Dec 31, 2025 | 330.00 Mn |
| Sep 30, 2025 | 355.00 Mn |
| Jun 30, 2025 | 359.00 Mn |
| Mar 31, 2025 | 354.00 Mn |
| Dec 31, 2024 | 314.00 Mn |
| Sep 30, 2024 | 362.00 Mn |
| Jun 30, 2024 | 381.00 Mn |
| Mar 31, 2024 | 364.00 Mn |
| Dec 31, 2023 | 306.00 Mn |
| Sep 30, 2023 | 320.00 Mn |
| Jun 30, 2023 | 299.00 Mn |
| Mar 31, 2023 | 281.00 Mn |
| Dec 31, 2022 | 238.00 Mn |
| Sep 30, 2022 | 266.00 Mn |
| Jun 30, 2022 | 270.00 Mn |
| Mar 31, 2022 | 266.00 Mn |
| Dec 31, 2021 | 290.00 Mn |
| Sep 30, 2021 | 340.00 Mn |
API Access
Kimberly Clark Long-Term Investments 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=long-term-investments&ticker=KMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();