Navios Maritime Partners (NMM) Total Non-Current Liabilities (2009 - 2026)
Navios Maritime Partners' Total Non-Current Liabilities was $2.28 billion in Q2 2026, up 1.9% from $2.24 billion a year earlier and up 3.3% from the prior quarter.
Navios Maritime Partners (NMM) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Navios Maritime Partners came in at $2.13 billion, down 1.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 37.5% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $2.16 billion in FY2024 (+12.5%), $1.92 billion in FY2023 (-0.9%), $1.94 billion in FY2022 (+32.7%) and $1.46 billion in FY2021 (+236.5%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q1 2009.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 8.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2023 (growth of 404.2%); the worst was Q2 2022 (a decline of 56.8%).
- Per Business Quant data, NMM's Total Non-Current Liabilities in the three quarters before Q2 2026 was $2.2 billion (Q1 2026), $2.13 billion (Q4 2025) and $2.23 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 48.84 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 53.87 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.27 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 29.45 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 60.43 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 27.52 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 29.96 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 40.73 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 639.21 Mn |
| 10 | Navios Maritime Partners | 2.48 Bn | 956.05 Mn | 364.53 Mn | 2.28 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.28 Bn |
| Mar 31, 2026 | 2.20 Bn |
| Dec 31, 2025 | 2.13 Bn |
| Sep 30, 2025 | 2.23 Bn |
| Jun 30, 2025 | 2.24 Bn |
| Mar 31, 2025 | 2.16 Bn |
| Dec 31, 2024 | 2.16 Bn |
| Sep 30, 2024 | 2.11 Bn |
| Jun 30, 2024 | 1.76 Bn |
| Mar 31, 2024 | 1.88 Bn |
| Dec 31, 2023 | 1.92 Bn |
| Sep 30, 2023 | 1.95 Bn |
| Jun 30, 2023 | 1.97 Bn |
| Mar 31, 2023 | 1.90 Bn |
| Dec 31, 2022 | 1.94 Bn |
| Sep 30, 2022 | 1.95 Bn |
| Jun 30, 2022 | 391.43 Mn |
| Mar 31, 2022 | 1.40 Bn |
| Dec 31, 2021 | 1.46 Bn |
| Sep 30, 2021 | 1.56 Bn |
Navios Maritime Partners Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=NMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();