Alerus Financial (ALRS) Accumulated Expenses (2018 - 2026)
Alerus Financial's Accumulated Expenses came in at $66.69 million for Q2 2026, up 8.5% from $61.46 million a year earlier and up 4.9% from the prior quarter.
Alerus Financial (ALRS) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Alerus Financial's Accumulated Expenses was $68.88 million, down 2.8% from FY2024.
- Accumulated Expenses carries a four-year compound annual growth rate of 8.6% (FY2021 to FY2025).
- Going back by year, Accumulated Expenses was $70.83 million in FY2024 (+10.5%), $64.1 million in FY2023 (-0.6%), $64.46 million in FY2022 (+30.1%) and $49.53 million in FY2021.
- The five-year range for quarterly Accumulated Expenses is $45.5 million (Q3 2021) to $71.16 million (Q3 2025).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 2.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2022 (growth of 66.4%), and the weakest in Q2 2025 (a decline of 9.1%).
- Business Quant data shows ALRS's Accumulated Expenses at $63.6 million (Q1 2026), $68.88 million (Q4 2025) and $71.16 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | Alerus Financial | 792.80 Mn | 390.21 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.69 Mn |
| Mar 31, 2026 | 63.60 Mn |
| Dec 31, 2025 | 68.88 Mn |
| Sep 30, 2025 | 71.16 Mn |
| Jun 30, 2025 | 61.46 Mn |
| Mar 31, 2025 | 62.48 Mn |
| Dec 31, 2024 | 70.83 Mn |
| Sep 30, 2024 | 61.22 Mn |
| Jun 30, 2024 | 67.61 Mn |
| Mar 31, 2024 | 62.08 Mn |
| Dec 31, 2023 | 64.10 Mn |
| Sep 30, 2023 | 66.87 Mn |
| Jun 30, 2023 | 64.73 Mn |
| Mar 31, 2023 | 59.12 Mn |
| Dec 31, 2022 | 64.46 Mn |
| Sep 30, 2022 | 68.14 Mn |
| Jun 30, 2022 | 63.28 Mn |
| Mar 31, 2022 | 52.68 Mn |
| Dec 31, 2021 | 49.53 Mn |
| Sep 30, 2021 | 45.50 Mn |
Alerus Financial Accumulated Expenses 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=accumulated-expenses&ticker=ALRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ALRS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ALRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();