Kimberly Clark (KMB) Retained Earnings (2009 - 2026)
Kimberly Clark (KMB) recorded Retained Earnings of $9.77 billion in Q2 2026, up 2.9% from $9.49 billion a year earlier but down 0.9% from the prior quarter.
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Analysis
Kimberly Clark (KMB) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Kimberly Clark reported Retained Earnings of $9.61 billion, up 3.8% from FY2024.
- Annual Retained Earnings has increased for eight straight years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $9.26 billion in FY2024 (+10.6%), $8.37 billion in FY2023 (+2.0%), $8.2 billion in FY2022 (+4.4%) and $7.86 billion in FY2021 (+3.8%).
- Quarterly Retained Earnings has ranged from $7.86 billion in Q4 2021 to $9.85 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Retained Earnings has increased for 31 consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 0.2% (Q2 2023) and 12.9% (Q3 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $9.85 billion (Q1 2026), $9.61 billion (Q4 2025) and $9.52 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 138.02 Bn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | 27.42 Bn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 11.45 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | -447.00 Mn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | 11.13 Bn |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 7.18 Bn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 247.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | -59.30 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 862.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | -1.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.13 Bn |
| Jun 30, 2026 | 9.77 Bn |
| Mar 31, 2026 | 9.85 Bn |
| Dec 31, 2025 | 9.61 Bn |
| Sep 30, 2025 | 9.52 Bn |
| Jun 30, 2025 | 9.49 Bn |
| Mar 31, 2025 | 9.41 Bn |
| Dec 31, 2024 | 9.26 Bn |
| Sep 30, 2024 | 9.28 Bn |
| Jun 30, 2024 | 8.73 Bn |
| Mar 31, 2024 | 8.60 Bn |
| Dec 31, 2023 | 8.37 Bn |
| Sep 30, 2023 | 8.22 Bn |
| Jun 30, 2023 | 8.04 Bn |
| Mar 31, 2023 | 8.37 Bn |
| Dec 31, 2022 | 8.20 Bn |
| Sep 30, 2022 | 8.09 Bn |
| Jun 30, 2022 | 8.02 Bn |
| Mar 31, 2022 | 7.99 Bn |
| Dec 31, 2021 | 7.86 Bn |
API Access
Kimberly Clark Retained Earnings 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=retained-earnings&ticker=KMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();