Zions Bancorporation, National Association (ZION) Change in Net Loans (2009 - 2026)
Zions Bancorporation, National Association (ZION) reported Change in Net Loans of -$148.34 million for Q2 2015, compared with $446.12 million a year earlier.
Zions Bancorporation, National Association (ZION) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2015, Zions Bancorporation, National Association's Change in Net Loans came in at $423.88 million, down 71.3% year-over-year; for FY2014, it came in at $1.08 billion, down 25.7% from FY2013.
- By year, Change in Net Loans came in at $1.45 billion in FY2013 (+100.1%), $725.8 million in FY2012 (-38.8%), $1.19 billion in FY2011 (-32.0%) and $1.74 billion in FY2010.
- The Q2 2015 figure ranks as the lowest quarterly Change in Net Loans since Q1 2012.
- Year over year, Change in Net Loans gained in two of the last six quarters, with growth averaging 2.1%.
- The high point for year-over-year Change in Net Loans in five years was Q3 2012 (growth of 269.2%); the low point was Q4 2011 (a decline of 82.2%).
- Per Business Quant data, the three quarters before Q2 2015 came in at $100.44 million (Q1 2015), $606.64 million (Q4 2014) and -$134.87 million (Q3 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 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 | - | -31.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -31.00 Mn |
| Jun 30, 2026 | -1.29 Bn |
| Mar 31, 2026 | -694.00 Mn |
| Dec 31, 2025 | -700.00 Mn |
| Sep 30, 2025 | 478.00 Mn |
| Jun 30, 2025 | -897.00 Mn |
| Mar 31, 2025 | -136.00 Mn |
| Dec 31, 2024 | -584.00 Mn |
| Sep 30, 2024 | -440.00 Mn |
| Jun 30, 2024 | -369.00 Mn |
| Mar 31, 2024 | -321.00 Mn |
| Dec 31, 2023 | -862.00 Mn |
| Sep 30, 2023 | 70.00 Mn |
| Jun 30, 2023 | -573.00 Mn |
| Mar 31, 2023 | -738.00 Mn |
| Dec 31, 2022 | -1.60 Bn |
| Sep 30, 2022 | -1.55 Bn |
| Jun 30, 2022 | -1.12 Bn |
| Mar 31, 2022 | -355.00 Mn |
| Dec 31, 2021 | -143.00 Mn |
Zions Bancorporation, National Association Change in Net Loans 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-net-loans&ticker=ZION&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=ZION&period=max&api_key=YOUR_API_KEY");
const data = await res.json();