Procter & Gamble (PG) EV to EBITDA (2009 - 2026)
Procter & Gamble's EV to EBITDA was 13.96 in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 6.2% from 14.88 a year earlier and down 3.4% from the prior quarter.
Procter & Gamble (PG) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Procter & Gamble's EV to EBITDA was 12.53 through Sep 30, 2026, down 8.2% year-over-year; for FY2026 (ended Jun 30, 2026), it was 14.46, down 7.5% from FY2025.
- In earlier fiscal years, EV to EBITDA was 15.62 in FY2025 (-11.6%), 17.68 in FY2024 (+5.4%), 16.78 in FY2023 (+2.8%) and 16.33 in FY2022 (+6.5%).
- Quarterly EV to EBITDA has moved between 13.95 (fiscal Q2 2026) and 18.76 (fiscal Q2 2022) over five years.
- Compared with a year earlier, EV to EBITDA has declined for seven straight quarters, with an average decline of 9.3% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was fiscal Q1 2025 (growth of 19.6%); the worst was fiscal Q1 2026 (a decline of 19.2%).
- Per Business Quant data, PG's EV to EBITDA in the three fiscal quarters before Q1 2027 was 14.45 (Q4 2026), 13.96 (Q3 2026) and 13.95 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 388.82 Bn | 340.39 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.88 Bn | 72.36 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 41.48 Bn | 28.57 Bn | 2.81 Bn |
| 4 | Kimberly Clark | 37.12 Bn | 33.06 Bn | 1.44 Bn |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 6 | Church & Dwight | 26.25 Bn | 24.63 Bn | 749.40 Mn |
| 7 | Clorox | 12.61 Bn | 10.87 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.16 Bn | 4.85 Bn | 236.00 Mn |
| 10 | Bath & Body Works | 4.67 Bn | 1.86 Bn | 692.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.96 |
| Jun 30, 2026 | 14.45 |
| Mar 31, 2026 | 13.96 |
| Dec 31, 2025 | 13.95 |
| Sep 30, 2025 | 14.88 |
| Jun 30, 2025 | 15.62 |
| Mar 31, 2025 | 17.09 |
| Dec 31, 2024 | 16.81 |
| Sep 30, 2024 | 18.42 |
| Jun 30, 2024 | 17.68 |
| Mar 31, 2024 | 17.37 |
| Dec 31, 2023 | 15.73 |
| Sep 30, 2023 | 15.40 |
| Jun 30, 2023 | 16.78 |
| Mar 31, 2023 | 16.90 |
| Dec 31, 2022 | 17.48 |
| Sep 30, 2022 | 14.29 |
| Jun 30, 2022 | 16.33 |
| Mar 31, 2022 | 17.44 |
| Dec 31, 2021 | 18.76 |
Procter & Gamble EV to EBITDA 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=ev-to-ebitda&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();