Procter & Gamble (PG) EBITDA (2009 - 2026)
Procter & Gamble's EBITDA was $6.75 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 2.0% from $6.62 billion a year earlier and up 41.7% from the prior quarter.
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Analysis
Procter & Gamble (PG) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Procter & Gamble's EBITDA was $23.04 billion through Sep 30, 2026, down 1.5% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $22.91 billion, down 1.7% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 2.0% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $23.3 billion in FY2025 (+8.7%), $21.44 billion in FY2024 (+2.8%), $20.85 billion in FY2023 (+1.1%) and $20.62 billion in FY2022 (-0.5%).
- The fiscal Q1 2027 figure marks the highest quarterly EBITDA in data going back to fiscal Q3 2009.
- Compared with a year earlier, EBITDA was higher in six of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2025 (growth of 25.1%); the worst was fiscal Q2 2023 (a decline of 7.1%).
- Per Business Quant data, PG's EBITDA in the three fiscal quarters before Q1 2027 was $4.76 billion (Q4 2026), $5.36 billion (Q3 2026) and $6.17 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 384.13 Bn | 335.69 Bn | 11.60 Bn | 6.75 Bn |
| 2 | Colgate Palmolive | 76.99 Bn | 71.47 Bn | 3.23 Bn | 1.25 Bn |
| 3 | Estee Lauder Companies | 40.05 Bn | 27.14 Bn | 2.81 Bn | 599.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 849.00 Mn |
| 5 | Kimberly Clark | 36.07 Bn | 32.01 Bn | 1.44 Bn | 700.00 Mn |
| 6 | Church & Dwight | 25.86 Bn | 24.25 Bn | 749.40 Mn | 468.20 Mn |
| 7 | Clorox | 12.14 Bn | 10.40 Bn | 770.00 Mn | 525.00 Mn |
| 8 | e.l.f. Beauty | 6.86 Bn | 5.68 Bn | 370.22 Mn | 76.96 Mn |
| 9 | Reynolds Consumer Products | 5.08 Bn | 4.77 Bn | 236.00 Mn | 163.00 Mn |
| 10 | Bath & Body Works | 4.61 Bn | 1.81 Bn | 692.00 Mn | 275.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.75 Bn |
| Jun 30, 2026 | 4.76 Bn |
| Mar 31, 2026 | 5.36 Bn |
| Dec 31, 2025 | 6.17 Bn |
| Sep 30, 2025 | 6.62 Bn |
| Jun 30, 2025 | 5.08 Bn |
| Mar 31, 2025 | 5.25 Bn |
| Dec 31, 2024 | 6.45 Bn |
| Sep 30, 2024 | 6.53 Bn |
| Jun 30, 2024 | 4.65 Bn |
| Mar 31, 2024 | 5.17 Bn |
| Dec 31, 2023 | 5.15 Bn |
| Sep 30, 2023 | 6.47 Bn |
| Jun 30, 2023 | 4.87 Bn |
| Mar 31, 2023 | 4.94 Bn |
| Dec 31, 2022 | 5.44 Bn |
| Sep 30, 2022 | 5.60 Bn |
| Jun 30, 2022 | 4.32 Bn |
| Mar 31, 2022 | 4.71 Bn |
| Dec 31, 2021 | 5.85 Bn |
API Access
Procter & Gamble 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=ebitda&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();