American National (ANG-PD) Change in Taxes (2010 - 2024)
American National's Change in Taxes came in at $13.51 million for Q1 2024, up 188.9% from $4.68 million a year earlier but down 57.3% from the prior quarter.
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Analysis
American National (ANG-PD) Change in Taxes (2010 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, American National reported Change in Taxes of $40.49 million, down 64.9% year-over-year; for FY2023, it was $31.65 million, down 71.5% from FY2022.
- Going back by year, Change in Taxes was $111.09 million in FY2022, -$165.72 million in FY2021, -$1.29 million in FY2020 and $26.97 million in FY2019.
- The five-year range for quarterly Change in Taxes is -$206.06 million (Q4 2021) to $80.5 million (Q3 2021).
- Year-over-year, Change in Taxes increased in two of the last five quarters, with growth averaging 159.0%.
- The fastest year-over-year change in Change in Taxes over five years came in Q1 2023 (growth of 801.2%), and the weakest in Q3 2023 (a decline of 99.4%).
- Business Quant data shows ANG-PD's Change in Taxes at $31.65 million (Q4 2023), $180,000 (Q3 2023) and -$4.86 million (Q2 2023) in the three quarters before Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.67 Bn | 84.25 Bn | 9.13 Bn | -132.00 Mn |
| 2 | Progressive | 133.00 Bn | 108.83 Bn | 9.04 Bn | -589.00 Mn |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - | -100.00 Mn |
| 4 | Travelers Companies | 83.93 Bn | 60.18 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 75.37 Bn | -19.52 Bn | - | - |
| 6 | Arthur J. Gallagher | 68.91 Bn | 63.31 Bn | - | -116.00 Mn |
| 7 | Allstate | 64.79 Bn | 26.06 Bn | 8.73 Bn | -224.00 Mn |
| 8 | Aon | 64.57 Bn | 57.79 Bn | - | -312.00 Mn |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn | - |
| 10 | American National | 1.85 Bn | -48.49 Bn | 1.46 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 13.51 Mn |
| Dec 31, 2023 | 31.65 Mn |
| Sep 30, 2023 | 180,000.00 |
| Jun 30, 2023 | -4.86 Mn |
| Mar 31, 2023 | 4.68 Mn |
| Dec 31, 2022 | 48.34 Mn |
| Sep 30, 2022 | 31.40 Mn |
| Jun 30, 2022 | 30.83 Mn |
| Mar 31, 2022 | 519,000.00 |
| Dec 31, 2021 | -206.06 Mn |
| Sep 30, 2021 | 80.50 Mn |
| Jun 30, 2021 | -60.62 Mn |
| Mar 31, 2021 | 20.46 Mn |
| Dec 31, 2020 | 33.91 Mn |
| Sep 30, 2020 | 1.19 Mn |
| Jun 30, 2020 | 10.36 Mn |
| Mar 31, 2020 | -46.75 Mn |
| Dec 31, 2019 | 30.71 Mn |
| Sep 30, 2019 | 17.81 Mn |
| Jun 30, 2019 | -23.40 Mn |
API Access
American National Change in 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=change-in-taxes&ticker=ANG-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "ANG-PD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=ANG-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();