Procter & Gamble (PG) Non-Current Debt (2009 - 2026)
Procter & Gamble (PG) reported Non-Current Debt of $4.95 billion for fiscal Q3 2020 (quarter ended Mar 31, 2020).
Analysis
Procter & Gamble (PG) Non-Current Debt (2009 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2020, Procter & Gamble's Non-Current Debt came in at $7.32 billion, up 209.1% year-over-year.
- The fiscal Q3 2020 figure ranks as the highest quarterly Non-Current Debt in data going back to fiscal Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 22.84 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 7.82 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 6.80 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 7.07 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 6.47 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 2.21 Bn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 3.98 Bn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 802.00 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 1.53 Bn |
| 10 | Interparfums | 3.78 Bn | 3.58 Bn | 223.53 Mn | 96.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.84 Bn |
| Mar 31, 2026 | 23.85 Bn |
| Dec 31, 2025 | 25.58 Bn |
| Sep 30, 2025 | 24.32 Bn |
| Jun 30, 2025 | 25.00 Bn |
| Mar 31, 2025 | 24.25 Bn |
| Dec 31, 2024 | 25.26 Bn |
| Sep 30, 2024 | 25.74 Bn |
| Jun 30, 2024 | 25.27 Bn |
| Mar 31, 2024 | 24.25 Bn |
| Dec 31, 2023 | 23.10 Bn |
| Sep 30, 2023 | 24.07 Bn |
| Jun 30, 2023 | 24.38 Bn |
| Mar 31, 2023 | 22.87 Bn |
| Dec 31, 2022 | 20.58 Bn |
| Sep 30, 2022 | 21.29 Bn |
| Jun 30, 2022 | 22.85 Bn |
| Mar 31, 2022 | 23.77 Bn |
| Dec 31, 2021 | 22.32 Bn |
| Sep 30, 2021 | 20.56 Bn |
API Access
Procter & Gamble Non-Current Debt 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();