UL Solutions (ULS) Pension (2023 - 2026)
UL Solutions' Pension was $102 million in Q3 2026, down 30.1% from $146 million a year earlier and down 1.0% from the prior quarter.
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Analysis
UL Solutions (ULS) Pension (2023 - 2026) Analysis & Trends
At the end of FY2025, Pension at UL Solutions came in at $134 million, down 31.6% from FY2024.
- In earlier years, Pension was $196 million in FY2024 (-15.5%) and $232 million in FY2023.
- The Q3 2026 figure marks the lowest quarterly Pension in data going back to Q4 2023.
- Compared with a year earlier, Pension has declined for eight straight quarters, with an average decline of 27.5% over the last eight quarters.
- Across the past five years, year-over-year decline in Pension ran from 9.4% in Q2 2025 to 49.0% in Q2 2026.
- Per Business Quant data, ULS's Pension in the three quarters before Q3 2026 was $103 million (Q2 2026), $125 million (Q1 2026) and $134 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Tetra Tech | 10.41 Bn | 9.52 Bn | 243.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 102.00 Mn |
| Jun 30, 2026 | 103.00 Mn |
| Mar 31, 2026 | 125.00 Mn |
| Dec 31, 2025 | 134.00 Mn |
| Sep 30, 2025 | 146.00 Mn |
| Jun 30, 2025 | 202.00 Mn |
| Mar 31, 2025 | 195.00 Mn |
| Dec 31, 2024 | 196.00 Mn |
| Sep 30, 2024 | 222.00 Mn |
| Jun 30, 2024 | 223.00 Mn |
| Mar 31, 2024 | 227.00 Mn |
| Dec 31, 2023 | 232.00 Mn |
API Access
UL Solutions 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=ULS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "ULS", "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=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();