Procter & Gamble (PG) Enterprise Value (2009 - 2026)
Procter & Gamble (PG) reported Enterprise Value of $321.72 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 7.6% from $348.15 billion a year earlier and down 2.8% from the prior quarter.
Procter & Gamble (PG) Enterprise Value (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Procter & Gamble's Enterprise Value came in at $288.64 billion, down 9.6% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $331.14 billion, down 9.0% from FY2025.
- Enterprise Value has a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $363.9 billion in FY2025 (-4.0%), $379.02 billion in FY2024 (+8.4%), $349.74 billion in FY2023 (+3.9%) and $336.64 billion in FY2022 (+6.0%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Enterprise Value since fiscal Q1 2023.
- Year over year, Enterprise Value has now declined in each of the last six quarters, with an average decline of 6.0% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q1 2025 (growth of 18.4%); the low point was fiscal Q3 2026 (a decline of 17.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $331.14 billion (Q4 2026), $324.26 billion (Q3 2026) and $322.5 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 385.85 Bn | 337.41 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.62 Bn | 72.10 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 41.03 Bn | 28.13 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.20 Bn | 32.14 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.09 Bn | 24.48 Bn | 749.40 Mn |
| 7 | Clorox | 12.34 Bn | 10.60 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 7.07 Bn | 5.89 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.06 Bn | 4.75 Bn | 236.00 Mn |
| 10 | Bath & Body Works | 4.79 Bn | 1.99 Bn | 692.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 321.72 Bn |
| Jun 30, 2026 | 331.14 Bn |
| Mar 31, 2026 | 324.26 Bn |
| Dec 31, 2025 | 322.50 Bn |
| Sep 30, 2025 | 348.15 Bn |
| Jun 30, 2025 | 363.90 Bn |
| Mar 31, 2025 | 390.71 Bn |
| Dec 31, 2024 | 383.16 Bn |
| Sep 30, 2024 | 396.04 Bn |
| Jun 30, 2024 | 379.02 Bn |
| Mar 31, 2024 | 376.38 Bn |
| Dec 31, 2023 | 337.22 Bn |
| Sep 30, 2023 | 334.36 Bn |
| Jun 30, 2023 | 349.74 Bn |
| Mar 31, 2023 | 343.14 Bn |
| Dec 31, 2022 | 350.97 Bn |
| Sep 30, 2022 | 292.72 Bn |
| Jun 30, 2022 | 336.64 Bn |
| Mar 31, 2022 | 358.35 Bn |
| Dec 31, 2021 | 380.84 Bn |
Procter & Gamble Enterprise Value 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=enterprise-value&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();