Wpp (WPP) Other Accumulated Expenses (2009 - 2026)
Wpp (WPP) posted Other Accumulated Expenses of -$273.7 million for Q2 2026, compared with -$256.14 million a year earlier.
Analysis
Wpp (WPP) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Wpp's Other Accumulated Expenses came in at -$264.7 million.
- In prior years, Wpp's Other Accumulated Expenses was -$297.77 million in FY2024, -$310.96 million in FY2023, $1.8 billion in FY2022 (-3.9%) and $1.87 billion in FY2021 (+4.8%).
- The Q2 2026 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.70 Bn | 63.36 Bn | 4.10 Bn |
| 2 | Fox | 27.65 Bn | 13.46 Bn | - |
| 3 | Omnicom | 22.55 Bn | 4.64 Bn | 1.30 Bn |
| 4 | News | 16.72 Bn | 8.21 Bn | - |
| 5 | Pearson | 11.86 Bn | 8.97 Bn | - |
| 6 | New York Times | 10.98 Bn | 8.46 Bn | 394.61 Mn |
| 7 | Sirius Xm Holdings | 9.09 Bn | 8.67 Bn | 1.44 Bn |
| 8 | Skydance | 7.82 Bn | 5.74 Bn | - |
| 9 | Wpp | 5.88 Bn | -6.16 Bn | - |
| 10 | Nexstar Media | 5.02 Bn | 3.85 Bn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -270.38 Mn |
| Dec 31, 2025 | -268.00 Mn |
| Jun 30, 2025 | -263.42 Mn |
| Dec 31, 2024 | -291.14 Mn |
| Jun 30, 2024 | -307.29 Mn |
| Dec 31, 2023 | -318.35 Mn |
| Jun 30, 2023 | 1.89 Bn |
| Dec 31, 2022 | 1.75 Bn |
| Jun 30, 2022 | 1.78 Bn |
| Dec 31, 2021 | 1.84 Bn |
| Jun 30, 2021 | 1.89 Bn |
| Dec 31, 2020 | 1.89 Bn |
| Jun 30, 2020 | 1.83 Bn |
| Dec 31, 2019 | 1.93 Bn |
| Jun 30, 2019 | 2.26 Bn |
| Dec 31, 2018 | 2.34 Bn |
| Jun 30, 2018 | -18.33 Bn |
| Dec 31, 2017 | 2.71 Bn |
| Jun 30, 2017 | -17.47 Bn |
| Dec 31, 2016 | 2.72 Bn |
API Access
Wpp Other Accumulated 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=other-accumulated-expenses&ticker=WPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=WPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();