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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | -70.00 Mn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 11.34 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Interparfums | 3.69 Bn | 3.49 Bn | 223.53 Mn | 838.59 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 7.88 Bn |
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_KEY
import 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();