Navios Maritime Partners (NMM) Non-Current Debt (2009 - 2026)
Navios Maritime Partners (NMM) reported Non-Current Debt of -$13.62 million for FY2020.
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Analysis
Navios Maritime Partners (NMM) Non-Current Debt (2009 - 2026) Analysis & Trends
- The FY2020 figure ranks as the highest annual Non-Current Debt since FY2017.
- According to Business Quant data, Non-Current Debt came in at $514.7 million in FY2017 and $29 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 29.04 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 17.16 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 16.08 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 23.85 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 15.97 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 10.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 40.10 Mn |
| 10 | Navios Maritime Partners | 2.59 Bn | 1.06 Bn | 364.53 Mn | 981.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 981.36 Mn |
| Mar 31, 2026 | 984.27 Mn |
| Dec 31, 2025 | 974.58 Mn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 985.01 Mn |
| Mar 31, 2025 | 918.65 Mn |
| Dec 31, 2024 | 917.10 Mn |
| Sep 30, 2024 | 938.58 Mn |
| Jun 30, 2024 | 684.03 Mn |
| Mar 31, 2024 | 814.23 Mn |
| Dec 31, 2023 | 609.72 Mn |
| Sep 30, 2023 | 782.21 Mn |
| Jun 30, 2023 | 763.41 Mn |
| Mar 31, 2023 | 650.71 Mn |
| Dec 31, 2022 | 689.69 Mn |
| Sep 30, 2022 | 752.21 Mn |
| Jun 30, 2022 | 265.22 Mn |
| Mar 31, 2022 | 625.52 Mn |
| Dec 31, 2021 | 640.94 Mn |
| Sep 30, 2021 | 679.49 Mn |
API Access
Navios Maritime Partners Non-Current Debt 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=non-current-debt&ticker=NMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "NMM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();