Navios Maritime Partners (NMM) Goodwill & Intangibles (2009 - 2026)
Navios Maritime Partners (NMM) posted Goodwill & Intangibles of $133,000 for Q2 2026, down 99.6% from $33.65 million a year earlier and down 92.1% from the prior quarter.
Navios Maritime Partners (NMM) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Navios Maritime Partners' Goodwill & Intangibles came in at $3.23 million, down 92.4% from FY2024.
- Annual Goodwill & Intangibles has declined for three consecutive years, with a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- In prior years, Navios Maritime Partners' Goodwill & Intangibles was $42.31 million in FY2024 (-30.0%), $60.43 million in FY2023 (-82.4%), $342.67 million in FY2022 (+118.7%) and $156.66 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q2 2010.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 14 quarters, with an average decline of 62.7% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q4 2022, with growth of 118.7%; the weakest was Q2 2026, with a decline of 99.6%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $1.68 million (Q1 2026), $3.23 million (Q4 2025) and $4.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Navios Maritime Partners | 2.66 Bn | 1.13 Bn | 364.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133,000.00 |
| Mar 31, 2026 | 1.68 Mn |
| Dec 31, 2025 | 3.23 Mn |
| Sep 30, 2025 | 4.78 Mn |
| Jun 30, 2025 | 33.65 Mn |
| Mar 31, 2025 | 37.87 Mn |
| Dec 31, 2024 | 42.31 Mn |
| Sep 30, 2024 | 46.81 Mn |
| Jun 30, 2024 | 51.35 Mn |
| Mar 31, 2024 | 55.89 Mn |
| Dec 31, 2023 | 60.43 Mn |
| Sep 30, 2023 | 64.97 Mn |
| Jun 30, 2023 | 69.51 Mn |
| Mar 31, 2023 | 74.05 Mn |
| Dec 31, 2022 | 342.67 Mn |
| Sep 30, 2022 | 86.33 Mn |
| Jun 30, 2022 | 342.67 Mn |
| Mar 31, 2022 | 93.56 Mn |
| Dec 31, 2021 | 156.66 Mn |
| Sep 30, 2021 | 109.72 Mn |
Navios Maritime Partners Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=NMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();