Procter & Gamble (PG) Tax Provisions (2009 - 2026)
Procter & Gamble (PG) posted Tax Provisions of $852 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.8% from $895 million a year earlier and down 18.0% from the prior quarter.
Procter & Gamble (PG) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble's Tax Provisions 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 Q4 2026 figure stands as the lowest quarterly Tax Provisions since fiscal Q4 2024.
- On a year-over-year basis, Tax Provisions increased in five of the last eight quarters, with growth averaging 7.1%.
- 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 $1.04 billion (Q3 2026), $1.09 billion (Q2 2026) and $1.25 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 852.00 Mn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 231.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 12.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 142.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 217.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 53.10 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 46.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 27.70 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 27.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 11.36 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 909.00 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();