Procter & Gamble (PG) Tax Provisions (2009 - 2026)
Procter & Gamble (PG) posted Tax Provisions of $1.27 billion for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 1.1% from $1.25 billion a year earlier and up 48.7% from the prior quarter.
Procter & Gamble (PG) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Procter & Gamble was $4.25 billion, up 1.1% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $4.23 billion, up 3.2% from FY2025.
- Annual Tax Provisions has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- In prior fiscal years, Procter & Gamble's Tax Provisions was $4.1 billion in FY2025 (+8.3%), $3.79 billion in FY2024 (+4.8%), $3.62 billion in FY2023 (+12.9%) and $3.2 billion in FY2022 (-1.9%).
- The fiscal Q1 2027 figure stands as the highest quarterly Tax Provisions since fiscal Q2 2018.
- On a year-over-year basis, Tax Provisions increased in six of the last eight quarters, with growth averaging 8.1%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q4 2023, with growth of 42.1%; the weakest was fiscal Q4 2024, with a decline of 13.7%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $852 million (Q4 2026), $1.04 billion (Q3 2026) and $1.09 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 388.36 Bn | 339.92 Bn | 11.60 Bn | 1.27 Bn |
| 2 | Colgate Palmolive | 77.74 Bn | 72.22 Bn | 3.23 Bn | 240.00 Mn |
| 3 | Estee Lauder Companies | 41.35 Bn | 28.44 Bn | 2.81 Bn | 112.00 Mn |
| 4 | Kimberly Clark | 37.08 Bn | 33.02 Bn | 1.44 Bn | 95.00 Mn |
| 5 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 179.00 Mn |
| 6 | Church & Dwight | 26.20 Bn | 24.59 Bn | 749.40 Mn | 59.70 Mn |
| 7 | Clorox | 12.58 Bn | 10.84 Bn | 770.00 Mn | 34.00 Mn |
| 8 | e.l.f. Beauty | 7.08 Bn | 5.90 Bn | 370.22 Mn | 13.00 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.84 Bn | 236.00 Mn | 18.00 Mn |
| 10 | Bath & Body Works | 4.67 Bn | 1.87 Bn | 692.00 Mn | 46.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.27 Bn |
| Jun 30, 2026 | 852.00 Mn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 1.09 Bn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 895.00 Mn |
| Mar 31, 2025 | 868.00 Mn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 726.00 Mn |
| Mar 31, 2024 | 812.00 Mn |
| Dec 31, 2023 | 1.00 Bn |
| Sep 30, 2023 | 1.25 Bn |
| Jun 30, 2023 | 841.00 Mn |
| Mar 31, 2023 | 864.00 Mn |
| Dec 31, 2022 | 876.00 Mn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 592.00 Mn |
| Mar 31, 2022 | 704.00 Mn |
| Dec 31, 2021 | 997.00 Mn |
Procter & Gamble Tax Provisions 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=tax-provisions&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();