Procter & Gamble (PG) Other Non-Current Liabilities (2009 - 2026)
Procter & Gamble's Other Non-Current Liabilities was $4.91 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 19.7% from $6.12 billion a year earlier and down 10.9% from the prior quarter.
Procter & Gamble (PG) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
From fiscal Q4 2009 onward, Procter & Gamble has reported Other Non-Current Liabilities for 69 quarters.
- Other Non-Current Liabilities has now declined for six consecutive fiscal years, with a five-year compound annual growth rate of -13.7% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $6.12 billion in FY2025 (-4.3%), $6.4 billion in FY2024 (-10.5%), $7.15 billion in FY2023 (-6.1%) and $7.62 billion in FY2022 (-25.8%).
- The fiscal Q4 2026 figure marks the lowest quarterly Other Non-Current Liabilities in data going back to fiscal Q4 2009.
- Compared with a year earlier, Other Non-Current Liabilities was higher in three of the last eight quarters, with an average decline of 7.5%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2026 (growth of 5.7%); the worst was fiscal Q1 2023 (a decline of 27.9%).
- Per Business Quant data, PG's Other Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $5.51 billion (Q3 2026), $5.72 billion (Q2 2026) and $5.84 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.91 Bn |
| Mar 31, 2026 | 5.51 Bn |
| Dec 31, 2025 | 5.72 Bn |
| Sep 30, 2025 | 5.84 Bn |
| Jun 30, 2025 | 6.12 Bn |
| Mar 31, 2025 | 5.46 Bn |
| Dec 31, 2024 | 5.41 Bn |
| Sep 30, 2024 | 5.76 Bn |
| Jun 30, 2024 | 6.40 Bn |
| Mar 31, 2024 | 6.39 Bn |
| Dec 31, 2023 | 6.61 Bn |
| Sep 30, 2023 | 6.48 Bn |
| Jun 30, 2023 | 7.15 Bn |
| Mar 31, 2023 | 7.10 Bn |
| Dec 31, 2022 | 7.20 Bn |
| Sep 30, 2022 | 7.06 Bn |
| Jun 30, 2022 | 7.62 Bn |
| Mar 31, 2022 | 9.76 Bn |
| Dec 31, 2021 | 9.67 Bn |
| Sep 30, 2021 | 9.79 Bn |
Procter & Gamble Other Non-Current 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=other-non-current-liabilities&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();