UL Solutions (ULS) Receivables (2023 - 2026)
UL Solutions (ULS) reported Receivables of $710 million for Q2 2026, up 9.6% from $648 million a year earlier but down 1.3% from the prior quarter.
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Analysis
UL Solutions (ULS) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions posted Receivables of $626 million, up 11.4% from FY2024.
- By year, Receivables came in at $562 million in FY2024 (+3.9%) and $541 million in FY2023.
- Five-year quarterly Receivables spans a low of $541 million in Q4 2023 and a high of $719 million in Q1 2026.
- Year over year, Receivables has now increased in each of the last seven quarters, with growth averaging 8.3% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $719 million (Q1 2026), $626 million (Q4 2025) and $623 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 1.26 Bn |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 1.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 710.00 Mn |
| Mar 31, 2026 | 719.00 Mn |
| Dec 31, 2025 | 626.00 Mn |
| Sep 30, 2025 | 623.00 Mn |
| Jun 30, 2025 | 648.00 Mn |
| Mar 31, 2025 | 666.00 Mn |
| Dec 31, 2024 | 562.00 Mn |
| Sep 30, 2024 | 577.00 Mn |
| Jun 30, 2024 | 587.00 Mn |
| Mar 31, 2024 | 622.00 Mn |
| Dec 31, 2023 | 541.00 Mn |
API Access
UL Solutions Receivables 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=receivables&ticker=ULS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();