Procter & Gamble (PG) Total Liabilities (2009 - 2026)
Procter & Gamble (PG) recorded Total Liabilities of $72.21 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 1.0% from $72.95 billion a year earlier and down 2.0% from the prior quarter.
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Analysis
Procter & Gamble (PG) Total Liabilities (2009 - 2026) Analysis & Trends
Starting with fiscal Q4 2009, Procter & Gamble's Total Liabilities history includes 69 quarters.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $72.95 billion in FY2025 (+1.6%), $71.81 billion in FY2024 (-2.6%), $73.76 billion in FY2023 (+4.8%) and $70.35 billion in FY2022 (-3.2%).
- The fiscal Q4 2026 figure is the lowest quarterly Total Liabilities since fiscal Q3 2025.
- On a year-over-year basis, Total Liabilities rose in four of the last eight quarters, with growth averaging 1.1%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 6.9% in fiscal Q2 2022, against a decline of 6.9% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $73.65 billion (Q3 2026), $73.97 billion (Q2 2026) and $74.05 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 399.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.21 Bn |
| Mar 31, 2026 | 73.65 Bn |
| Dec 31, 2025 | 73.97 Bn |
| Sep 30, 2025 | 74.05 Bn |
| Jun 30, 2025 | 72.95 Bn |
| Mar 31, 2025 | 70.44 Bn |
| Dec 31, 2024 | 71.20 Bn |
| Sep 30, 2024 | 74.34 Bn |
| Jun 30, 2024 | 71.81 Bn |
| Mar 31, 2024 | 69.27 Bn |
| Dec 31, 2023 | 71.88 Bn |
| Sep 30, 2023 | 74.52 Bn |
| Jun 30, 2023 | 73.76 Bn |
| Mar 31, 2023 | 74.43 Bn |
| Dec 31, 2022 | 72.99 Bn |
| Sep 30, 2022 | 71.95 Bn |
| Jun 30, 2022 | 70.35 Bn |
| Mar 31, 2022 | 74.47 Bn |
| Dec 31, 2021 | 76.52 Bn |
| Sep 30, 2021 | 73.26 Bn |
API Access
Procter & Gamble Total Liabilities 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=total-liabilities&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();