Procter & Gamble (PG) Non Operating Interest Expenses (2009 - 2026)
Procter & Gamble's Non Operating Interest Expenses came in at $236 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 11.3% from $212 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Procter & Gamble (PG) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Procter & Gamble's Non Operating Interest Expenses was $877 million, down 3.3% from FY2025.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $907 million in FY2025 (-1.9%), $925 million in FY2024 (+22.4%), $756 million in FY2023 (+72.2%) and $439 million in FY2022 (-12.5%).
- The fiscal Q4 2026 figure represents the highest quarterly Non Operating Interest Expenses since fiscal Q2 2025.
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q4 2023 (growth of 108.7%), and the weakest in fiscal Q2 2022 (a decline of 25.9%).
- Business Quant data shows PG's Non Operating Interest Expenses at $223 million (Q3 2026), $220 million (Q2 2026) and $197 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Interparfums | 3.55 Bn | 3.36 Bn | 223.53 Mn | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 236.00 Mn |
| Mar 31, 2026 | 223.00 Mn |
| Dec 31, 2025 | 220.00 Mn |
| Sep 30, 2025 | 197.00 Mn |
| Jun 30, 2025 | 212.00 Mn |
| Mar 31, 2025 | 217.00 Mn |
| Dec 31, 2024 | 240.00 Mn |
| Sep 30, 2024 | 238.00 Mn |
| Jun 30, 2024 | 220.00 Mn |
| Mar 31, 2024 | 233.00 Mn |
| Dec 31, 2023 | 248.00 Mn |
| Sep 30, 2023 | 225.00 Mn |
| Jun 30, 2023 | 240.00 Mn |
| Mar 31, 2023 | 222.00 Mn |
| Dec 31, 2022 | 171.00 Mn |
| Sep 30, 2022 | 123.00 Mn |
| Jun 30, 2022 | 115.00 Mn |
| Mar 31, 2022 | 109.00 Mn |
| Dec 31, 2021 | 106.00 Mn |
| Sep 30, 2021 | 109.00 Mn |
API Access
Procter & Gamble Non Operating Interest Expenses 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-operating-interest-expenses&ticker=PG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=PG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();