Navios Maritime Partners (NMM) Cash & Equivalents (2009 - 2026)
Navios Maritime Partners' Cash & Equivalents was $352.62 million in Q2 2026, down 6.6% from $377.62 million a year earlier and down 14.2% from the prior quarter.
Navios Maritime Partners (NMM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Navios Maritime Partners came in at $402.78 million, up 49.1% from FY2024.
- Cash & Equivalents has now increased for six consecutive years, with a five-year compound annual growth rate of 58.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $270.17 million in FY2024 (+8.4%), $249.18 million in FY2023 (+42.3%), $175.1 million in FY2022 (+3.3%) and $169.45 million in FY2021 (+317.4%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q1 2025.
- Compared with a year earlier, Cash & Equivalents was higher in seven of the last eight quarters, with growth averaging 22.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2021 (growth of 451.4%); the worst was Q2 2022 (a decline of 25.0%).
- Per Business Quant data, NMM's Cash & Equivalents in the three quarters before Q2 2026 was $410.97 million (Q1 2026), $402.78 million (Q4 2025) and $360.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 1.61 Bn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 1.01 Bn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 264.59 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 1.07 Bn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.65 Bn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 13.31 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 4.67 Bn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 283.94 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 10.17 Bn |
| 10 | Navios Maritime Partners | 2.66 Bn | 1.13 Bn | 364.53 Mn | 352.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352.62 Mn |
| Mar 31, 2026 | 410.97 Mn |
| Dec 31, 2025 | 402.78 Mn |
| Sep 30, 2025 | 360.51 Mn |
| Jun 30, 2025 | 377.62 Mn |
| Mar 31, 2025 | 321.56 Mn |
| Dec 31, 2024 | 270.17 Mn |
| Sep 30, 2024 | 293.96 Mn |
| Jun 30, 2024 | 279.84 Mn |
| Mar 31, 2024 | 232.83 Mn |
| Dec 31, 2023 | 249.18 Mn |
| Sep 30, 2023 | 269.17 Mn |
| Jun 30, 2023 | 270.05 Mn |
| Mar 31, 2023 | 213.21 Mn |
| Dec 31, 2022 | 175.10 Mn |
| Sep 30, 2022 | 110.32 Mn |
| Jun 30, 2022 | 174.62 Mn |
| Mar 31, 2022 | 108.20 Mn |
| Dec 31, 2021 | 169.45 Mn |
| Sep 30, 2021 | 141.18 Mn |
Navios Maritime Partners Cash & Equivalents 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=cash-and-equivalents&ticker=NMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();