Navios Maritime Partners (NMM) Price to Book (2009 - 2026)
Navios Maritime Partners' Price to Book was 0.56 in Q1 2026, up 51.5% from 0.37 a year earlier.
Analysis
Navios Maritime Partners (NMM) Price to Book (2009 - 2026) Analysis & Trends
For FY2024, Price to Book at Navios Maritime Partners came in at 0.41, up 35.8% from FY2023.
- In earlier years, Price to Book was 0.30 in FY2023 (-8.9%), 0.33 in FY2022 (+4.3%), 0.32 in FY2021 (+65.3%) and 0.19 in FY2020 (-30.0%).
- The Q1 2026 figure marks the highest quarterly Price to Book since Q3 2024.
- Compared with a year earlier, Price to Book was higher in four of the last six quarters, with growth averaging 45.9%.
- The best year-over-year quarter for Price to Book over five years was Q2 2022 (growth of 812.1%); the worst was Q2 2023 (a decline of 89.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | Navios Maritime Partners | 2.48 Bn | 956.05 Mn | 364.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.56 |
| Mar 31, 2026 | 0.56 |
| Dec 31, 2025 | 0.45 |
| Sep 30, 2025 | 0.41 |
| Jun 30, 2025 | 0.35 |
| Mar 31, 2025 | 0.37 |
| Dec 31, 2024 | 0.41 |
| Sep 30, 2024 | 0.63 |
| Jun 30, 2024 | 0.52 |
| Mar 31, 2024 | 0.45 |
| Dec 31, 2023 | 0.30 |
| Sep 30, 2023 | 0.26 |
| Jun 30, 2023 | 0.26 |
| Mar 31, 2023 | 0.30 |
| Dec 31, 2022 | 0.33 |
| Sep 30, 2022 | 0.33 |
| Jun 30, 2022 | 3.24 |
| Mar 31, 2022 | 0.57 |
| Dec 31, 2021 | 0.43 |
| Sep 30, 2021 | 0.23 |
API Access
Navios Maritime Partners Price to Book 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-book&ticker=NMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=NMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();