Procter & Gamble (PG) Change in Inventory (2009 - 2026)
Procter & Gamble (PG) recorded Change in Inventory of $349 million in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 15.2% from $303 million a year earlier and up 18.3% from the prior quarter.
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Analysis
Procter & Gamble (PG) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, Procter & Gamble's Change in Inventory came in at $687 million as of Sep 30, 2026, up 56.5% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $641 million, up 97.8% from FY2025.
- Annual Change in Inventory has a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Inventory came in at $324 million in FY2025 (+362.9%), $70 million in FY2024 (-41.2%), $119 million in FY2023 (-90.5%) and $1.25 billion in FY2022 (+303.6%).
- The fiscal Q1 2027 figure is the highest quarterly Change in Inventory since fiscal Q1 2023.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 438.8% in fiscal Q2 2022, against a decline of 84.1% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $295 million (Q4 2026), $91 million (Q3 2026) and -$48 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 389.52 Bn | 341.08 Bn | 11.60 Bn | 349.00 Mn |
| 2 | Colgate Palmolive | 77.87 Bn | 72.35 Bn | 3.23 Bn | -6.00 Mn |
| 3 | Estee Lauder Companies | 40.86 Bn | 27.95 Bn | 2.81 Bn | 146.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 95.00 Mn |
| 5 | Kimberly Clark | 36.57 Bn | 32.51 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.26 Bn | 24.65 Bn | 749.40 Mn | 32.80 Mn |
| 7 | Clorox | 12.68 Bn | 10.94 Bn | 770.00 Mn | 4.00 Mn |
| 8 | e.l.f. Beauty | 6.96 Bn | 5.78 Bn | 370.22 Mn | 13.69 Mn |
| 9 | Reynolds Consumer Products | 5.15 Bn | 4.85 Bn | 236.00 Mn | 58.00 Mn |
| 10 | Bath & Body Works | 4.60 Bn | 1.80 Bn | 692.00 Mn | 102.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 349.00 Mn |
| Jun 30, 2026 | 295.00 Mn |
| Mar 31, 2026 | 91.00 Mn |
| Dec 31, 2025 | -48.00 Mn |
| Sep 30, 2025 | 303.00 Mn |
| Jun 30, 2025 | -85.00 Mn |
| Mar 31, 2025 | 239.00 Mn |
| Dec 31, 2024 | -18.00 Mn |
| Sep 30, 2024 | 188.00 Mn |
| Jun 30, 2024 | 23.00 Mn |
| Mar 31, 2024 | 15.00 Mn |
| Dec 31, 2023 | -110.00 Mn |
| Sep 30, 2023 | 142.00 Mn |
| Jun 30, 2023 | -384.00 Mn |
| Mar 31, 2023 | -152.00 Mn |
| Dec 31, 2022 | -238.00 Mn |
| Sep 30, 2022 | 893.00 Mn |
| Jun 30, 2022 | -5.00 Mn |
| Mar 31, 2022 | 412.00 Mn |
| Dec 31, 2021 | 431.00 Mn |
API Access
Procter & Gamble Change in Inventory 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=change-in-inventory&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();