Assurant (AIZ) Tax Provisions (2009 - 2026)
Assurant (AIZ) recorded Tax Provisions of $78.3 million in Q2 2026, up 45.8% from $53.7 million a year earlier and up 27.3% from the prior quarter.
Assurant (AIZ) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Assurant's Tax Provisions came in at $263.7 million as of Jun 30, 2026, up 67.7% year-over-year; for FY2025, it was $214.7 million, up 28.5% from FY2024.
- Annual Tax Provisions has increased for three straight years, with a five-year compound annual growth rate of 29.6% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $167.1 million in FY2024 (+1.7%), $164.3 million in FY2023 (+124.1%), $73.3 million in FY2022 (-56.5%) and $168.4 million in FY2021 (+186.9%).
- The Q2 2026 figure is the highest quarterly Tax Provisions since Q1 2016.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 43.2% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 270.6% in Q3 2025, against a decline of 96.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $61.5 million (Q1 2026), $58.3 million (Q4 2025) and $65.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 6.29 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 742.00 Mn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 898.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 411.00 Mn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 559.00 Mn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -328.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 256.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 159.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 90.00 Mn |
| 10 | Assurant | 13.02 Bn | 4.79 Bn | 2.71 Bn | 78.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.30 Mn |
| Mar 31, 2026 | 61.50 Mn |
| Dec 31, 2025 | 58.30 Mn |
| Sep 30, 2025 | 65.60 Mn |
| Jun 30, 2025 | 53.70 Mn |
| Mar 31, 2025 | 37.10 Mn |
| Dec 31, 2024 | 48.70 Mn |
| Sep 30, 2024 | 17.70 Mn |
| Jun 30, 2024 | 44.20 Mn |
| Mar 31, 2024 | 56.50 Mn |
| Dec 31, 2023 | 44.10 Mn |
| Sep 30, 2023 | 38.70 Mn |
| Jun 30, 2023 | 48.00 Mn |
| Mar 31, 2023 | 33.50 Mn |
| Dec 31, 2022 | 28.20 Mn |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 17.70 Mn |
| Mar 31, 2022 | 26.20 Mn |
| Dec 31, 2021 | 34.60 Mn |
| Sep 30, 2021 | 37.20 Mn |
Assurant Tax Provisions 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=tax-provisions&ticker=AIZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "AIZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=AIZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();