Meridian (MRBK) EBITDA (2017 - 2020)
Meridian's EBITDA was $108.44 million in FY2025, down 0.3% from $108.82 million in FY2024.
Analysis
Meridian (MRBK) EBITDA (2017 - 2020) Analysis & Trends
From FY2017 onward, Meridian has reported EBITDA for 9 years.
- EBITDA shows a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Annual EBITDA has moved between $47.91 million (FY2022) and $108.82 million (FY2024) over five years.
- Per Business Quant data, EBITDA in earlier years was $108.82 million in FY2024 (+26.2%), $86.21 million in FY2023 (+79.9%), $47.91 million in FY2022 (-14.5%) and $56.01 million in FY2021 (+10.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Meridian | 224.41 Mn | 215.81 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 7.56 Mn |
| Dec 31, 2019 | 8.44 Mn |
| Sep 30, 2019 | 9.64 Mn |
| Jun 30, 2019 | 6.98 Mn |
| Mar 31, 2019 | 6.67 Mn |
| Dec 31, 2018 | 6.81 Mn |
| Sep 30, 2018 | 7.15 Mn |
| Jun 30, 2018 | 5.34 Mn |
| Mar 31, 2018 | 4.02 Mn |
| Dec 31, 2017 | 2.93 Mn |
API Access
Meridian EBITDA 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=ebitda&ticker=MRBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MRBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=MRBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();