Procter & Gamble (PG) Net of Acquisitions & Divestments (2009 - 2026)
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Analysis
Procter & Gamble (PG) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.79 Bn | 323.55 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 74.66 Bn | 69.39 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 38.33 Bn | 26.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.21 Bn | 31.83 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.02 Bn | 32.22 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.64 Bn | 23.17 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.41 Bn | 8.69 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.70 Bn | 5.68 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.76 Bn | 4.42 Bn | 245.00 Mn | - |
| 10 | Bath & Body Works | 4.29 Bn | 1.94 Bn | 692.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -80.00 Mn |
| Sep 30, 2025 | -5.00 Mn |
| Mar 31, 2025 | -5.00 Mn |
| Sep 30, 2024 | -6.00 Mn |
| Mar 31, 2024 | -21.00 Mn |
| Mar 31, 2023 | -638.00 Mn |
| Dec 31, 2022 | -74.00 Mn |
| Sep 30, 2022 | -2.00 Mn |
| Mar 31, 2022 | -1.03 Bn |
| Dec 31, 2021 | -349.00 Mn |
| Mar 31, 2020 | -4.00 Mn |
| Dec 31, 2019 | -54.00 Mn |
| Mar 31, 2019 | -95.00 Mn |
| Dec 31, 2018 | -3.61 Bn |
| Sep 30, 2018 | -237.00 Mn |
| Mar 31, 2018 | -7.00 Mn |
| Dec 31, 2017 | -101.00 Mn |
| Dec 31, 2016 | -2.00 Mn |
| Sep 30, 2016 | -14.00 Mn |
| Dec 31, 2015 | -186.00 Mn |
API Access
Procter & Gamble Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "PG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();