Metlife (MET) Current Taxes (2009 - 2024)
Metlife's Current Taxes came in at $10 million for Q1 2024, down 98.2% from $554 million a year earlier.
Analysis
Metlife (MET) Current Taxes (2009 - 2024) Analysis & Trends
At the end of FY2020, Metlife's Current Taxes was $129 million, down 64.5% from FY2019.
- Current Taxes carries a three-year compound annual growth rate of -25.4% (FY2017 to FY2020).
- Going back by year, Current Taxes was $363 million in FY2019 (-17.7%), $441 million in FY2018 (+41.8%) and $311 million in FY2017.
- The Q1 2024 figure represents the lowest quarterly Current Taxes in data going back to Q1 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | - |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | - |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | - |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 485.00 Mn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | - |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | - |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | - |
| 10 | Metlife | 64.67 Bn | -43.29 Bn | 9.05 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 10.00 Mn |
| Sep 30, 2023 | 59.00 Mn |
| Mar 31, 2023 | 554.00 Mn |
| Sep 30, 2021 | 103.00 Mn |
| Dec 31, 2020 | 129.00 Mn |
| Sep 30, 2020 | 638.00 Mn |
| Jun 30, 2020 | 928.00 Mn |
| Mar 31, 2020 | 708.00 Mn |
| Dec 31, 2019 | 363.00 Mn |
| Sep 30, 2019 | 31.00 Mn |
| Mar 31, 2019 | 505.00 Mn |
| Dec 31, 2018 | 441.00 Mn |
| Sep 30, 2018 | 166.00 Mn |
| Jun 30, 2018 | 222.00 Mn |
| Mar 31, 2018 | 155.00 Mn |
| Dec 31, 2017 | 311.00 Mn |
| Sep 30, 2016 | 151.00 Mn |
| Sep 30, 2015 | 21.00 Mn |
| Jun 30, 2015 | 71.00 Mn |
| Mar 31, 2015 | 243.00 Mn |
API Access
Metlife Current Taxes 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=current-taxes&ticker=MET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "ticker": "MET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-taxes&ticker=MET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();