Navios Maritime Partners (NMM) Asset Writedowns and Impairment (2011 - 2020)
Navios Maritime Partners' Asset Writedowns and Impairment was -$63 million in Q4 2020, compared with -$29.34 million a year earlier.
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Analysis
Navios Maritime Partners (NMM) Asset Writedowns and Impairment (2011 - 2020) Analysis & Trends
For FY2020, Asset Writedowns and Impairment at Navios Maritime Partners came in at $71.58 million, up 95.1% from FY2019.
- Asset Writedowns and Impairment shows a four-year compound annual growth rate of 27.4% (FY2016 to FY2020).
- In earlier years, Asset Writedowns and Impairment was $36.68 million in FY2019 (-17.3%), $44.34 million in FY2018 (+35.7%), $32.68 million in FY2017 (+20.1%) and $27.2 million in FY2016.
- The Q4 2020 figure marks the lowest quarterly Asset Writedowns and Impairment in data going back to Q2 2011.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -63.00 Mn |
| Sep 30, 2020 | 1.78 Mn |
| Dec 31, 2019 | -29.34 Mn |
| Mar 31, 2019 | 7.35 Mn |
| Dec 31, 2018 | 1.23 Mn |
| Sep 30, 2018 | -5.26 Mn |
| Dec 31, 2017 | -32.68 Mn |
| Dec 31, 2016 | -10.01 Mn |
| Jun 30, 2011 | -3.98 Mn |
API Access
Navios Maritime Partners Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=NMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();