Navios Maritime Partners (NMM) Price to Sales (2010 - 2026)
Navios Maritime Partners' (NMM) Price to Sales stood at 1.41 in Q2 2026, up 33.8% from 1.05 a year earlier.
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Analysis
Navios Maritime Partners (NMM) Price to Sales (2010 - 2026) Analysis & Trends
For FY2025, Navios Maritime Partners' Price to Sales came in at 1.12, up 16.0% from FY2024.
- Across earlier years, Price to Sales came in at 0.96 in FY2024 (+49.2%), 0.65 in FY2023 (-0.2%), 0.65 in FY2022 (-18.7%) and 0.80 in FY2021 (+42.0%).
- The Q2 2026 figure is the highest quarterly Price to Sales since Q2 2024.
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 |
|---|---|
| Jun 30, 2026 | 1.41 |
| Jun 30, 2025 | 1.05 |
| Jun 30, 2024 | 1.97 |
| Jun 30, 2023 | 1.32 |
| Jun 30, 2020 | 0.50 |
| Jun 30, 2019 | 0.68 |
| Jun 30, 2018 | 1.15 |
| Dec 31, 2017 | 1.54 |
| Jun 30, 2017 | 0.67 |
| Dec 31, 2016 | 0.57 |
| Jun 30, 2016 | 0.50 |
| Dec 31, 2015 | 1.11 |
| Jun 30, 2015 | 3.62 |
| Dec 31, 2014 | 3.43 |
| Sep 30, 2014 | 5.75 |
| Jun 30, 2014 | 6.53 |
| Mar 31, 2014 | 6.74 |
| Dec 31, 2013 | 6.85 |
| Sep 30, 2013 | 4.43 |
| Jun 30, 2013 | 4.18 |
API Access
Navios Maritime Partners Price to Sales 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=price-to-sales&ticker=NMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();