Navios Maritime Partners (NMM) Depreciation & Amortization - Total (2017)
Navios Maritime Partners (NMM) posted Depreciation & Amortization - Total of $225.96 million for FY2025, up 7.6% from $209.95 million in FY2024.
Analysis
Navios Maritime Partners (NMM) Depreciation & Amortization - Total (2017) Analysis & Trends
Since FY2011, Navios Maritime Partners has reported Depreciation & Amortization - Total for 14 years.
- Annual Depreciation & Amortization - Total has increased for three consecutive years, with a five-year compound annual growth rate of 32.7% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Depreciation & Amortization - Total in data going back to FY2011.
- Business Quant data shows NMM's Depreciation & Amortization - Total at $209.95 million in FY2024 (+5.4%), $199.14 million in FY2023 (+21.5%) and $163.94 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 638.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Navios Maritime Partners | 2.63 Bn | 1.10 Bn | 364.53 Mn | - |
API Access
Navios Maritime Partners Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=NMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();