Procter & Gamble (PG) Accumulated Expenses (2009 - 2026)
Procter & Gamble's Accumulated Expenses came in at $11.09 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.0% from $11.32 billion a year earlier but up 10.6% from the prior quarter.
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Analysis
Procter & Gamble (PG) Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Procter & Gamble's Accumulated Expenses data covers 69 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $11.32 billion in FY2025 (+2.2%), $11.07 billion in FY2024 (+1.3%), $10.93 billion in FY2023 (+14.4%) and $9.55 billion in FY2022 (-9.2%).
- The five-year range for quarterly Accumulated Expenses is $9.55 billion (fiscal Q4 2022) to $11.32 billion (fiscal Q4 2025).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with an average decline of 1.8%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2023 (growth of 14.4%), and the weakest in fiscal Q2 2025 (a decline of 11.0%).
- Business Quant data shows PG's Accumulated Expenses at $10.03 billion (Q3 2026), $10.46 billion (Q2 2026) and $10.76 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.09 Bn |
| Mar 31, 2026 | 10.03 Bn |
| Dec 31, 2025 | 10.46 Bn |
| Sep 30, 2025 | 10.76 Bn |
| Jun 30, 2025 | 11.32 Bn |
| Mar 31, 2025 | 9.85 Bn |
| Dec 31, 2024 | 9.88 Bn |
| Sep 30, 2024 | 10.66 Bn |
| Jun 30, 2024 | 11.07 Bn |
| Mar 31, 2024 | 10.92 Bn |
| Dec 31, 2023 | 11.10 Bn |
| Sep 30, 2023 | 10.91 Bn |
| Jun 30, 2023 | 10.93 Bn |
| Mar 31, 2023 | 10.52 Bn |
| Dec 31, 2022 | 10.29 Bn |
| Sep 30, 2022 | 10.06 Bn |
| Jun 30, 2022 | 9.55 Bn |
| Mar 31, 2022 | 10.32 Bn |
| Dec 31, 2021 | 10.54 Bn |
| Sep 30, 2021 | 10.38 Bn |
API Access
Procter & Gamble Accumulated Expenses 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=accumulated-expenses&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();