Procter & Gamble (PG) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Analysis
Procter & Gamble (PG) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 384.54 Bn | 336.10 Bn | 11.60 Bn | -747.00 Mn |
| 2 | Colgate Palmolive | 77.30 Bn | 71.78 Bn | 3.23 Bn | -1.00 Mn |
| 3 | Estee Lauder Companies | 41.01 Bn | 28.11 Bn | 2.81 Bn | -1.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | - |
| 5 | Kimberly Clark | 36.13 Bn | 32.07 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.05 Bn | 24.43 Bn | 749.40 Mn | - |
| 7 | Clorox | 12.29 Bn | 10.55 Bn | 770.00 Mn | - |
| 8 | e.l.f. Beauty | 7.06 Bn | 5.88 Bn | 370.22 Mn | -7.50 Mn |
| 9 | Reynolds Consumer Products | 5.07 Bn | 4.76 Bn | 236.00 Mn | - |
| 10 | Bath & Body Works | 4.78 Bn | 1.98 Bn | 692.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -747.00 Mn |
| 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 | 743.00 Mn |
| Dec 31, 2024 | -1.41 Bn |
| Sep 30, 2024 | -70.00 Mn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | 1.34 Bn |
| Dec 31, 2023 | -1.33 Bn |
| Sep 30, 2023 | -1.00 Bn |
| Jun 30, 2023 | 1.43 Bn |
| Mar 31, 2023 | 2.57 Bn |
| Sep 30, 2022 | -1.88 Bn |
| Jun 30, 2022 | 433.00 Mn |
| Mar 31, 2022 | 1.15 Bn |
| Dec 31, 2021 | -1.65 Bn |
| Sep 30, 2021 | -26.00 Mn |
| Jun 30, 2021 | 1.89 Bn |
API Access
Procter & Gamble Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=PG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();