Lucas GC (LGCL) Receivables (2022 - 2025)
Lucas GC's Receivables was $4.33 million in the quarter ended Dec 31, 2025, down 49.0% from $8.5 million a year earlier.
Analysis
Lucas GC (LGCL) Receivables (2022 - 2025) Analysis & Trends
As of Dec 31, 2025, Receivables at Lucas GC came in at $4.28 million, down 48.9% from the prior year.
- Receivables shows a three-year compound annual growth rate of -34.6% (years ended Dec 2022 to Dec 2025).
- In earlier years, Receivables was $8.37 million in the year ended Dec 31, 2024 (+111.0%), $3.96 million in the year ended Dec 31, 2023 (-74.1%) and $15.31 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Receivables since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 18.08 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 1.56 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.49 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 2.34 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 238.99 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 2.58 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 710.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.20 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | 1.26 Bn |
| 10 | Lucas GC | 117,309.18 | -20.17 Mn | - | 4.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.33 Mn |
| Dec 31, 2024 | 8.50 Mn |
| Dec 31, 2023 | 3.91 Mn |
| Dec 31, 2022 | -6.32 Mn |
API Access
Lucas GC 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=LGCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "LGCL", "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=LGCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();