Unilever (UL) Non Operating Interest Expenses (2009 - 2011)
Unilever's Non Operating Interest Expenses came in at -$1.16 billion for FY2025, compared with -$1.08 billion in FY2024.
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Analysis
Unilever (UL) Non Operating Interest Expenses (2009 - 2011) Analysis & Trends
Going back to FY2009, Unilever's Non Operating Interest Expenses data covers 17 years.
- The FY2025 figure represents the lowest annual Non Operating Interest Expenses in data going back to FY2009.
- Per Business Quant, earlier years put Non Operating Interest Expenses at -$1.08 billion in FY2024, -$997.34 million in FY2023, -$862.14 million in FY2022 and -$581.05 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | -731.80 Mn |
| Dec 31, 2010 | 535.04 Mn |
| Sep 30, 2010 | -156.24 Mn |
| Jun 30, 2010 | -165.73 Mn |
| Mar 31, 2010 | -173.09 Mn |
| Dec 31, 2009 | 875.70 Mn |
| Sep 30, 2009 | -138.72 Mn |
| Jun 30, 2009 | -170.21 Mn |
| Mar 31, 2009 | 239.32 Mn |
API Access
Unilever 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=UL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "UL", "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=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();