Isabella Bank (ISBA) Wages, Salaries and Other (2010 - 2026)
Isabella Bank's Wages, Salaries and Other came in at $8.15 million for Q2 2026, up 8.7% from $7.5 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Isabella Bank (ISBA) Wages, Salaries and Other (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Isabella Bank reported Wages, Salaries and Other of $31.24 million, up 6.0% year-over-year; for FY2025, it was $30.04 million, up 5.1% from FY2024.
- Wages, Salaries and Other has increased in each of the last four years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Going back by year, Wages, Salaries and Other was $28.58 million in FY2024 (+10.3%), $25.91 million in FY2023 (+4.1%), $24.89 million in FY2022 (+4.8%) and $23.75 million in FY2021 (-0.1%).
- The Q2 2026 figure represents the highest quarterly Wages, Salaries and Other in data going back to Q2 2010.
- Year-over-year, Wages, Salaries and Other has increased for ten consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- The fastest year-over-year change in Wages, Salaries and Other over five years came in Q4 2024 (growth of 20.0%), and the weakest in Q4 2023 (a decline of 4.5%).
- Business Quant data shows ISBA's Wages, Salaries and Other at $7.93 million (Q1 2026), $7.53 million (Q4 2025) and $7.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 15.16 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 10.99 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 8.19 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.51 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.10 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 8.85 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 3.54 Bn |
| 10 | Isabella Bank | 295.16 Mn | 15.94 Mn | - | 8.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.15 Mn |
| Mar 31, 2026 | 7.93 Mn |
| Dec 31, 2025 | 7.53 Mn |
| Sep 30, 2025 | 7.63 Mn |
| Jun 30, 2025 | 7.50 Mn |
| Mar 31, 2025 | 7.38 Mn |
| Dec 31, 2024 | 7.34 Mn |
| Sep 30, 2024 | 7.25 Mn |
| Jun 30, 2024 | 6.97 Mn |
| Mar 31, 2024 | 7.02 Mn |
| Dec 31, 2023 | 6.12 Mn |
| Sep 30, 2023 | 6.64 Mn |
| Jun 30, 2023 | 6.56 Mn |
| Mar 31, 2023 | 6.59 Mn |
| Dec 31, 2022 | 6.41 Mn |
| Sep 30, 2022 | 6.37 Mn |
| Jun 30, 2022 | 6.04 Mn |
| Mar 31, 2022 | 6.07 Mn |
| Dec 31, 2021 | 6.06 Mn |
| Sep 30, 2021 | 6.12 Mn |
API Access
Isabella Bank Wages, Salaries and Other 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=wages-salaries-and-other&ticker=ISBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "ISBA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=wages-salaries-and-other&ticker=ISBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();