Zions Bancorporation, National Association (ZION) Provision for Losses (2009 - 2026)
Zions Bancorporation, National Association's Provision for Losses came in at $3 million for Q2 2026, compared with -$1 million a year earlier.
Zions Bancorporation, National Association (ZION) Provision for Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Zions Bancorporation, National Association reported Provision for Losses of $51 million, down 28.2% year-over-year; for FY2025, it was $72 million, unchanged from FY2024.
- Provision for Losses carries a five-year compound annual growth rate of -29.5% (FY2020 to FY2025).
- Going back by year, Provision for Losses was $72 million in FY2024 (-45.5%), $132 million in FY2023 (+8.2%), $122 million in FY2022 and -$276 million in FY2021.
- The five-year range for quarterly Provision for Losses is -$46 million (Q3 2021) to $71 million (Q3 2022).
- Year-over-year, Provision for Losses increased in two of the last four quarters, with growth averaging 40.4%.
- The fastest year-over-year change in Provision for Losses over five years came in Q3 2025 (growth of 276.9%), and the weakest in Q2 2024 (a decline of 89.1%).
- Business Quant data shows ZION's Provision for Losses at -$7 million (Q1 2026), $6 million (Q4 2025) and $49 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Zions Bancorporation, National Association | 1.60 Bn | 924.10 Mn | - | -8.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -8.00 Mn |
| Jun 30, 2026 | 3.00 Mn |
| Mar 31, 2026 | -7.00 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Sep 30, 2025 | 49.00 Mn |
| Jun 30, 2025 | -1.00 Mn |
| Mar 31, 2025 | 18.00 Mn |
| Dec 31, 2024 | 41.00 Mn |
| Sep 30, 2024 | 13.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Sep 30, 2023 | 41.00 Mn |
| Jun 30, 2023 | 46.00 Mn |
| Mar 31, 2023 | 45.00 Mn |
| Dec 31, 2022 | 43.00 Mn |
| Sep 30, 2022 | 71.00 Mn |
| Jun 30, 2022 | 41.00 Mn |
| Mar 31, 2022 | -33.00 Mn |
| Dec 31, 2021 | 25.00 Mn |
| Sep 30, 2021 | -46.00 Mn |
Zions Bancorporation, National Association Provision for Losses 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=provision-for-losses&ticker=ZION&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "ZION", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=ZION&period=max&api_key=YOUR_API_KEY");
const data = await res.json();