Navios Maritime Partners (NMM) Acquisitions (2017 - 2022)
Navios Maritime Partners (NMM) recorded Acquisitions of $9.86 million in FY2022, down 76.9% from $42.68 million in FY2021.
Analysis
Navios Maritime Partners (NMM) Acquisitions (2017 - 2022) Analysis & Trends
Starting with FY2015, Navios Maritime Partners' Acquisitions history includes 6 years.
- Annual Acquisitions has a five-year compound annual growth rate of -38.9% (FY2017 to FY2022).
- The FY2022 figure is the lowest annual Acquisitions since FY2019.
- Per Business Quant data, NMM's Acquisitions was $42.68 million in FY2021 and -$21.17 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | - |
| 10 | Navios Maritime Partners | 2.59 Bn | 1.06 Bn | 364.53 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 16.14 Mn |
| Jun 30, 2022 | -3.63 Mn |
| Mar 31, 2022 | -2.65 Mn |
| Dec 31, 2021 | 256.43 Mn |
| Sep 30, 2021 | -33.33 Mn |
| Jun 30, 2021 | -143.40 Mn |
| Mar 31, 2021 | -37.02 Mn |
| Dec 31, 2020 | 71.44 Mn |
| Sep 30, 2020 | -33.86 Mn |
| Dec 31, 2019 | -9.88 Mn |
| Sep 30, 2019 | -5.46 Mn |
| Dec 31, 2018 | 115.46 Mn |
| Sep 30, 2018 | -79.19 Mn |
| Dec 31, 2017 | 274.13 Mn |
| Sep 30, 2017 | -57.19 Mn |
API Access
Navios Maritime Partners Acquisitions 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=acquisitions&ticker=NMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();