Lazard (LAZ) Long-Term Debt Repayments (2010 - 2025)
Lazard's Long-Term Debt Repayments was $298.35 million in FY2025, down 25.3% from $399.15 million in FY2024.
Analysis
Lazard (LAZ) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
From FY2009 onward, Lazard has reported Long-Term Debt Repayments for 13 years.
- The FY2025 figure marks the lowest annual Long-Term Debt Repayments since FY2019.
- Per Business Quant data, Long-Term Debt Repayments in earlier years was $399.15 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | - |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 750.00 Mn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | - |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | - |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | - |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | 1.51 Bn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | - |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | - |
| 10 | Lazard | 3.87 Bn | -984.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 298.35 Mn |
| Dec 31, 2024 | 166.08 Mn |
| Mar 31, 2024 | 233.07 Mn |
| Jun 30, 2019 | 84.08 Mn |
| Mar 31, 2019 | 171.67 Mn |
| Sep 30, 2018 | 255.53 Mn |
| Jun 30, 2018 | 9,000.00 |
| Mar 31, 2018 | 8,000.00 |
| Dec 31, 2017 | 8,000.00 |
| Sep 30, 2017 | 9,000.00 |
| Jun 30, 2017 | 6.92 Mn |
| Mar 31, 2017 | 396,000.00 |
| Dec 31, 2016 | 101.83 Mn |
| Sep 30, 2016 | 399,000.00 |
| Jun 30, 2016 | 418,000.00 |
| Mar 31, 2016 | 417,000.00 |
| Dec 31, 2015 | 391,000.00 |
| Mar 31, 2012 | 740,000.00 |
| Dec 31, 2011 | 722,000.00 |
| Sep 30, 2011 | 132.03 Mn |
API Access
Lazard Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=LAZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "LAZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=LAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();