Unilever (UL) Net Long-Term Debt Issued (Repaid) (2012 - 2014)
Unilever (UL) reported Non-Current Debt of $9.46 billion for Q2 2026, up 16.9% from $8.1 billion a year earlier.
Analysis
Unilever (UL) Net Long-Term Debt Issued (Repaid) (2012 - 2014) Analysis & Trends
At the end of FY2025, Unilever posted Non-Current Debt of $2.92 billion, down 61.4% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $7.56 billion in FY2024 (+37.4%), $5.5 billion in FY2023 (-9.6%), $6.09 billion in FY2022 (-29.1%) and $8.58 billion in FY2021 (+68.5%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Debt since Q2 2022.
- Year over year, Non-Current Debt gained in two of the last four quarters, with an average decline of 2.0%.
- The high point for year-over-year Non-Current Debt in five years was Q4 2021 (growth of 56.0%); the low point was Q4 2025 (a decline of 59.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | -967.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | -501.66 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -1.00 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | -1.70 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -220.00 Mn |
| 10 | Lamb Weston Holdings | 7.87 Bn | 7.49 Bn | 266.50 Mn | -16.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 12.37 Bn |
| Dec 31, 2013 | 11.51 Bn |
| Dec 31, 2012 | 9.54 Bn |
API Access
Unilever 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=UL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=UL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();