Wpp (WPP) Pension (2009 - 2026)
Wpp's Pension was -$170.39 million in Q2 2026, compared with -$172.09 million a year earlier.
Analysis
Wpp (WPP) Pension (2009 - 2026) Analysis & Trends
At the end of FY2025, Pension at Wpp came in at -$170.26 million.
- In earlier years, Pension was -$169.42 million in FY2024, -$169.16 million in FY2023, -$170.17 million in FY2022 and -$187.95 million in FY2021.
- Quarterly Pension has moved between -$222.9 million (Q2 2022) and -$161.28 million (Q4 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Fox | 28.49 Bn | 14.24 Bn | - |
| 2 | Omnicom | 23.76 Bn | 5.84 Bn | 1.36 Bn |
| 3 | News | 14.74 Bn | 6.93 Bn | - |
| 4 | Sirius Xm Holdings | 11.20 Bn | 10.64 Bn | 1.43 Bn |
| 5 | Pearson | 11.13 Bn | 8.26 Bn | - |
| 6 | New York Times | 10.43 Bn | 7.86 Bn | 395.07 Mn |
| 7 | Skydance | 9.02 Bn | 6.94 Bn | - |
| 8 | Wpp | 6.03 Bn | -5.76 Bn | - |
| 9 | Nexstar Media | 5.79 Bn | 4.44 Bn | 1.20 Bn |
| 10 | Versant Media | 4.65 Bn | 978.28 Mn | 715.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -168.33 Mn |
| Dec 31, 2025 | 172.38 Mn |
| Jun 30, 2025 | -176.98 Mn |
| Dec 31, 2024 | 165.65 Mn |
| Jun 30, 2024 | -169.45 Mn |
| Dec 31, 2023 | 173.18 Mn |
| Jun 30, 2023 | 168.78 Mn |
| Dec 31, 2022 | 165.77 Mn |
| Jun 30, 2022 | 214.73 Mn |
| Dec 31, 2021 | 184.39 Mn |
| Dec 31, 2020 | 213.59 Mn |
| Dec 31, 2019 | 208.50 Mn |
| Jun 30, 2019 | -189.53 Mn |
| Dec 31, 2018 | -233.94 Mn |
| Jun 30, 2018 | -272.22 Mn |
| Dec 31, 2017 | -277.28 Mn |
| Jun 30, 2017 | -353.25 Mn |
| Dec 31, 2016 | -339.76 Mn |
| Dec 31, 2015 | -339.80 Mn |
| Dec 31, 2014 | -461.16 Mn |
API Access
Wpp Pension 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=pension&ticker=WPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=WPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();