Procter & Gamble (PG) Gains from Sales and Divestitures (2009 - 2026)
Procter & Gamble (PG) reported Gains from Sales and Divestitures of $6 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 77.8% from $27 million a year earlier and down 98.3% from the prior quarter.
Procter & Gamble (PG) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble posted Gains from Sales and Divestitures of $351 million.
- Gains from Sales and Divestitures has a five-year compound annual growth rate of 85.5% (FY2021 to FY2026).
- By fiscal year, Gains from Sales and Divestitures came in at -$755 million in FY2025, $215 million in FY2024 (+437.5%), $40 million in FY2023 (-52.9%) and $85 million in FY2022 (+431.3%).
- Five-year quarterly Gains from Sales and Divestitures spans a low of -$794 million in fiscal Q1 2025 and a high of $346 million in fiscal Q3 2026.
- The high point for year-over-year Gains from Sales and Divestitures in five years was fiscal Q1 2022 (growth of 508.3%); the low point was fiscal Q1 2023 (a decline of 98.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $346 million (Q3 2026), -$4 million (Q2 2026) and $3 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Interparfums | 3.65 Bn | 3.46 Bn | 223.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 346.00 Mn |
| Dec 31, 2025 | -4.00 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 27.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | -794.00 Mn |
| Jun 30, 2024 | 164.00 Mn |
| Mar 31, 2024 | 48.00 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 36.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Sep 30, 2021 | 73.00 Mn |
| Jun 30, 2021 | 1.00 Mn |
Procter & Gamble Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();