Procter & Gamble (PG) Change in Property, Plant and Equipment (2009 - 2026)
Procter & Gamble's Change in Property, Plant and Equipment was -$1.34 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), compared with -$1.19 billion a year earlier.
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Analysis
Procter & Gamble (PG) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Procter & Gamble's Change in Property, Plant and Equipment was -$4.05 billion through Sep 30, 2026; for FY2026 (ended Jun 30, 2026), it came in at -$3.9 billion.
- In earlier fiscal years, Change in Property, Plant and Equipment was -$3.67 billion in FY2025, -$2.98 billion in FY2024, -$3.02 billion in FY2023 and -$3.05 billion in FY2022.
- The fiscal Q1 2027 figure marks the lowest quarterly Change in Property, Plant and Equipment since fiscal Q4 2013.
- Per Business Quant data, PG's Change in Property, Plant and Equipment in the three fiscal quarters before Q1 2027 was -$1.02 billion (Q4 2026), -$534 million (Q3 2026) and -$1.16 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 373.44 Bn | 325.24 Bn | 11.60 Bn | -1.34 Bn |
| 2 | Colgate Palmolive | 74.95 Bn | 70.01 Bn | 3.30 Bn | -128.00 Mn |
| 3 | Estee Lauder Companies | 39.37 Bn | 27.45 Bn | 2.74 Bn | -151.00 Mn |
| 4 | Kenvue | 37.58 Bn | 33.19 Bn | 2.30 Bn | -64.00 Mn |
| 5 | Kimberly Clark | 36.64 Bn | 33.96 Bn | 1.60 Bn | -351.00 Mn |
| 6 | Church & Dwight | 24.96 Bn | 23.48 Bn | 693.90 Mn | -29.90 Mn |
| 7 | Clorox | 10.45 Bn | 8.89 Bn | 804.00 Mn | -86.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.70 Bn | 398.84 Mn | -1.43 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.52 Bn | 245.00 Mn | -57.00 Mn |
| 10 | Bath & Body Works | 4.24 Bn | 1.89 Bn | 692.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.34 Bn |
| Jun 30, 2026 | -1.02 Bn |
| Mar 31, 2026 | -534.00 Mn |
| Dec 31, 2025 | -1.16 Bn |
| Sep 30, 2025 | -1.19 Bn |
| Jun 30, 2025 | -953.00 Mn |
| Mar 31, 2025 | -842.00 Mn |
| Dec 31, 2024 | -923.00 Mn |
| Sep 30, 2024 | -948.00 Mn |
| Jun 30, 2024 | -514.00 Mn |
| Mar 31, 2024 | -728.00 Mn |
| Dec 31, 2023 | -812.00 Mn |
| Sep 30, 2023 | -922.00 Mn |
| Jun 30, 2023 | -697.00 Mn |
| Mar 31, 2023 | -729.00 Mn |
| Dec 31, 2022 | -705.00 Mn |
| Sep 30, 2022 | -885.00 Mn |
| Jun 30, 2022 | -681.00 Mn |
| Mar 31, 2022 | -745.00 Mn |
| Dec 31, 2021 | -614.00 Mn |
API Access
Procter & Gamble Change in Property, Plant and Equipment 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=change-in-property-plant-and-equipment&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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=change-in-property-plant-and-equipment&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();