NatWest (NWG) EV to EBITDA (2012 - 2023)
NatWest's (NWG) EV to EBITDA stood at -142.06 in Q1 2023, compared with -326.29 a year earlier.
Powered by 
Analysis
NatWest (NWG) EV to EBITDA (2012 - 2023) Analysis & Trends
On a TTM basis, NatWest's EV to EBITDA came in at -1232.17 as of Mar 31, 2023; for FY2022, it was -47.30.
- Across earlier years, EV to EBITDA came in at -62.61 in FY2021, -409.09 in FY2020, -39.05 in FY2019 and -38.71 in FY2018.
- Quarterly EV to EBITDA has ranged from -493.20 in Q2 2019 to -37.59 in Q2 2018 over the past five years.
- Per Business Quant, the preceding three quarters came in at -90.36 (Q4 2022), -93.44 (Q3 2022) and -319.77 (Q2 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | NatWest | 75.15 Bn | -793.22 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -142.06 |
| Dec 31, 2022 | -90.36 |
| Sep 30, 2022 | -93.44 |
| Jun 30, 2022 | -319.77 |
| Mar 31, 2022 | -326.29 |
| Dec 31, 2021 | -145.94 |
| Sep 30, 2021 | -211.92 |
| Jun 30, 2021 | -305.01 |
| Jun 30, 2019 | -493.20 |
| Mar 31, 2019 | -323.87 |
| Dec 31, 2018 | -140.55 |
| Sep 30, 2018 | -97.72 |
| Jun 30, 2018 | -37.59 |
| Mar 31, 2018 | -29.13 |
| Sep 30, 2017 | -17.95 |
| Jun 30, 2017 | -22.40 |
| Mar 31, 2017 | -19.36 |
| Dec 31, 2016 | -23.20 |
| Sep 30, 2016 | -19.24 |
| Jun 30, 2016 | -31.85 |
API Access
NatWest EV to 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=ev-to-ebitda&ticker=NWG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "NWG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=NWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();