Colgate Palmolive (CL) Buildings (2009 - 2025)
Colgate Palmolive (CL) posted Buildings of $2.17 billion for Q4 2025, up 5.6% from $2.06 billion a year earlier.
Analysis
Colgate Palmolive (CL) Buildings (2009 - 2025) Analysis & Trends
Since Q4 2009, Colgate Palmolive has reported Buildings for 17 quarters.
- Annual Buildings has increased for four consecutive years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In prior years, Colgate Palmolive's Buildings was $2.06 billion in FY2024 (+0.4%), $2.05 billion in FY2023 (+12.2%), $1.83 billion in FY2022 (+13.8%) and $1.6 billion in FY2021 (-1.2%).
- The Q4 2025 figure stands as the highest quarterly Buildings in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.17 Bn |
| Dec 31, 2024 | 2.06 Bn |
| Dec 31, 2023 | 2.05 Bn |
| Dec 31, 2022 | 1.83 Bn |
| Dec 31, 2021 | 1.60 Bn |
| Dec 31, 2020 | 1.62 Bn |
| Dec 31, 2019 | 1.60 Bn |
| Dec 31, 2018 | 1.60 Bn |
| Dec 31, 2017 | 1.66 Bn |
| Dec 31, 2016 | 1.54 Bn |
| Dec 31, 2015 | 1.49 Bn |
| Dec 31, 2014 | 1.66 Bn |
| Dec 31, 2013 | 1.63 Bn |
| Dec 31, 2012 | 1.44 Bn |
| Dec 31, 2011 | 1.34 Bn |
| Dec 31, 2010 | 1.32 Bn |
| Dec 31, 2009 | 1.08 Bn |
API Access
Colgate Palmolive Buildings 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=buildings&ticker=CL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "CL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=CL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();