Wpp (WPP) Pension (2009 - 2026)
Wpp (WPP) posted Pension of -$170.4 million for Q2 2026, little changed on a QoQ basis from -$170.3 million in Q4 2025, and up 0.99% year-over-year from -$168.7 million in Q2 2025.
Wpp (WPP) Pension (2009 - 2026) Analysis & Trends
Wpp has reported Pension for 18 years, with the latest figure at -$170.4 million in Q2 2026.
- On a quarterly basis, Pension rose 0.99% year-over-year to -$170.4 million in Q2 2026; TTM through Jun 2026 was -$170.4 million, a 0.99% increase from a year earlier, with the FY2025 full-year figure at -$170.3 million, changed 0.5% from the prior year.
- Pension was -$170.4 million for Q2 2026 at Wpp, roughly flat from -$170.3 million in the prior quarter.
- The five-year high for Pension was $222.9 million in Q2 2022, with the low at -$172.1 million in Q2 2025.
- Average Pension over 5 years is -$87.9 million, with a median of -$169.1 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2024: Pension advanced 12.41% in 2022, then slumped 201.02% in 2024.
- Over 5 years, Pension stood at -$161.3 million in 2022, then decreased by 4.66% to -$168.8 million in 2023, then dropped by 0.37% to -$169.4 million in 2024, then retreated by 0.5% to -$170.3 million in 2025, then fell by 0.08% to -$170.4 million in 2026.
- The last three Pension figures came in at -$170.4 million (Q2 2026), -$170.3 million (Q4 2025), and -$172.1 million (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Warner Bros. Discovery | 77.15 Bn | 74.93 Bn | 4.10 Bn |
| 2 | Fox | 24.55 Bn | 20.44 Bn | - |
| 3 | Omnicom | 20.71 Bn | 17.98 Bn | 1.30 Bn |
| 4 | News | 17.37 Bn | 15.99 Bn | - |
| 5 | Paramount Skydance | 11.04 Bn | 8.96 Bn | -2.08 Bn |
| 6 | Pearson | 10.10 Bn | 9.51 Bn | 1.17 Bn |
| 7 | New York Times | 9.93 Bn | 9.27 Bn | 394.61 Mn |
| 8 | Sirius Xm Holdings | 8.86 Bn | 8.68 Bn | 1.44 Bn |
| 9 | 36Kr Holdings | 6.17 Bn | 6.15 Bn | - |
| 10 | Wpp | 5.43 Bn | 2.51 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -170.39 Mn |
| Dec 31, 2025 | -170.26 Mn |
| Jun 30, 2025 | -172.09 Mn |
| Dec 31, 2024 | -169.42 Mn |
| Jun 30, 2024 | -169.14 Mn |
| Dec 31, 2023 | -168.80 Mn |
| Jun 30, 2023 | 167.43 Mn |
| Dec 31, 2022 | -161.28 Mn |
| Jun 30, 2022 | 222.90 Mn |
| Dec 31, 2021 | -184.14 Mn |
| Dec 31, 2020 | -206.91 Mn |
| Dec 31, 2019 | -204.43 Mn |
| Jun 30, 2019 | -192.30 Mn |
| Dec 31, 2018 | -237.15 Mn |
| Jun 30, 2018 | -283.64 Mn |
| Dec 31, 2017 | -273.90 Mn |
| Jun 30, 2017 | -346.93 Mn |
| Dec 31, 2016 | -343.75 Mn |
| Dec 31, 2015 | -347.96 Mn |
| Dec 31, 2014 | -469.30 Mn |
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();