Procter & Gamble (PG) Long-Term Debt Repayments (2009 - 2026)
Procter & Gamble (PG) posted Long-Term Debt Repayments of $1.03 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 106.2% from $499 million a year earlier but down 24.1% from the prior quarter.
Procter & Gamble (PG) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble's Long-Term Debt Repayments came in at $3.39 billion, up 71.5% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- In prior fiscal years, Procter & Gamble's Long-Term Debt Repayments was $1.98 billion in FY2025 (-15.3%), $2.34 billion in FY2024 (+24.3%), $1.88 billion in FY2023 (-19.8%) and $2.34 billion in FY2022 (-53.0%).
- Quarterly Long-Term Debt Repayments has run from a low of -$433 million in fiscal Q4 2022 to a high of $1.88 billion in fiscal Q1 2023 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in two of the last five quarters, with an average decline of 21.1%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q4 2026, with growth of 106.2%; the weakest was fiscal Q1 2026, with a decline of 95.7%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $1.36 billion (Q3 2026), $1 billion (Q2 2026) and $3 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 369.86 Bn | 325.61 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 75.27 Bn | 70.00 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 38.37 Bn | 26.44 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.86 Bn | 32.48 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.79 Bn | 32.98 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.95 Bn | 23.47 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.71 Bn | 8.98 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.79 Bn | 5.76 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.80 Bn | 4.47 Bn | 245.00 Mn | - |
| 10 | Bath & Body Works | 4.40 Bn | 2.05 Bn | 692.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.00 Bn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 499.00 Mn |
| Dec 31, 2024 | 1.41 Bn |
| Sep 30, 2024 | 70.00 Mn |
| Dec 31, 2023 | 1.33 Bn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 1.00 Mn |
| Sep 30, 2022 | 1.88 Bn |
| Jun 30, 2022 | -433.00 Mn |
| Mar 31, 2022 | 1.10 Bn |
| Dec 31, 2021 | 1.65 Bn |
| Sep 30, 2021 | 26.00 Mn |
| Jun 30, 2021 | 98.00 Mn |
| Mar 31, 2021 | 669.00 Mn |
| Dec 31, 2020 | 4.20 Bn |
| Sep 30, 2020 | 25.00 Mn |
| Jun 30, 2020 | 913.00 Mn |
Procter & Gamble Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();