Wpp (WPP) Non Operating Interest Expenses (2009 - 2025)
Wpp's Non Operating Interest Expenses was $468.22 million in Q4 2025, down 12.5% from $535.22 million a year earlier.
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Analysis
Wpp (WPP) Non Operating Interest Expenses (2009 - 2025) Analysis & Trends
For FY2025, Non Operating Interest Expenses at Wpp came in at -$468.22 million.
- In earlier years, Non Operating Interest Expenses was -$535.22 million in FY2024, -$483.85 million in FY2023, $444.8 million in FY2022 and -$390.2 million in FY2021.
- The Q4 2025 figure marks the lowest quarterly Non Operating Interest Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.50 Bn | 63.16 Bn | 4.10 Bn | 511.00 Mn |
| 2 | Fox | 27.18 Bn | 13.09 Bn | - | - |
| 3 | Omnicom | 20.60 Bn | 3.30 Bn | 1.30 Bn | 123.20 Mn |
| 4 | News | 16.19 Bn | 8.39 Bn | - | - |
| 5 | Paramount Skydance | 11.39 Bn | 9.31 Bn | - | - |
| 6 | New York Times | 10.30 Bn | 7.79 Bn | 394.61 Mn | - |
| 7 | Pearson | 10.14 Bn | 7.28 Bn | - | - |
| 8 | Sirius Xm Holdings | 8.74 Bn | 8.32 Bn | 1.44 Bn | 112.00 Mn |
| 9 | 36Kr Holdings | 6.25 Bn | 6.19 Bn | - | - |
| 10 | Wpp | 5.52 Bn | -6.28 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 468.22 Mn |
| Dec 31, 2024 | 535.22 Mn |
| Dec 31, 2023 | 482.81 Mn |
| Dec 31, 2022 | 421.55 Mn |
| Dec 31, 2021 | -289.82 Mn |
| Dec 31, 2019 | 483.95 Mn |
| Dec 31, 2018 | 372.26 Mn |
| Dec 31, 2014 | 416.22 Mn |
| Dec 31, 2013 | 433.75 Mn |
| Dec 31, 2012 | 433.26 Mn |
| Dec 31, 2011 | 415.84 Mn |
| Dec 31, 2010 | -2.98 Bn |
| Dec 31, 2009 | -4.31 Bn |
API Access
Wpp 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=WPP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "WPP", "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=WPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();