Kimberly Clark (KMB) Tax Provisions (2009 - 2026)
Kimberly Clark (KMB) recorded Tax Provisions of $217 million in Q2 2026, up 87.1% from $116 million a year earlier and up 32.3% from the prior quarter.
Kimberly Clark (KMB) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Kimberly Clark's Tax Provisions came in at $733 million as of Jun 30, 2026, up 52.4% year-over-year; for FY2025, it came in at $599 million, up 35.5% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $442 million in FY2024 (+28.9%), $343 million in FY2023 (-30.7%), $495 million in FY2022 (+3.3%) and $479 million in FY2021 (-29.1%).
- Quarterly Tax Provisions has ranged from -$32 million in Q2 2023 to $248 million in Q3 2025 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 44.3% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 121.3% in Q4 2025, against a decline of 67.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $164 million (Q1 2026), $104 million (Q4 2025) and $248 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 852.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 231.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 142.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 12.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 217.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 53.10 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 46.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 27.70 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 27.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 11.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 217.00 Mn |
| Mar 31, 2026 | 164.00 Mn |
| Dec 31, 2025 | 104.00 Mn |
| Sep 30, 2025 | 248.00 Mn |
| Jun 30, 2025 | 116.00 Mn |
| Mar 31, 2025 | 131.00 Mn |
| Dec 31, 2024 | 47.00 Mn |
| Sep 30, 2024 | 187.00 Mn |
| Jun 30, 2024 | 60.00 Mn |
| Mar 31, 2024 | 184.00 Mn |
| Dec 31, 2023 | 45.00 Mn |
| Sep 30, 2023 | 157.00 Mn |
| Jun 30, 2023 | -32.00 Mn |
| Mar 31, 2023 | 173.00 Mn |
| Dec 31, 2022 | 139.00 Mn |
| Sep 30, 2022 | 127.00 Mn |
| Jun 30, 2022 | 115.00 Mn |
| Mar 31, 2022 | 114.00 Mn |
| Dec 31, 2021 | 93.00 Mn |
| Sep 30, 2021 | 126.00 Mn |
Kimberly Clark Tax Provisions 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=tax-provisions&ticker=KMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=KMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();