Alerus Financial (ALRS) Interest Expenses (2018 - 2026)
Alerus Financial (ALRS) posted Interest Expenses of $22.91 million for Q2 2026, down 16.3% from $27.39 million a year earlier but up 3.8% from the prior quarter.
Alerus Financial (ALRS) Interest Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Alerus Financial was $97.7 million, down 13.6% year-over-year; for FY2025, it came in at $107.14 million, down 6.5% from FY2024.
- Annual Interest Expenses shows a four-year compound annual growth rate of 109.5% (FY2021 to FY2025).
- In prior years, Alerus Financial's Interest Expenses was $114.53 million in FY2024 (+48.7%), $77.04 million in FY2023 (+386.1%), $15.85 million in FY2022 (+185.1%) and $5.56 million in FY2021.
- Quarterly Interest Expenses has run from a low of $1.39 million in Q1 2022 to a high of $29.67 million in Q3 2024 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last five quarters, with growth averaging 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2023, with growth of 997.3%; the weakest was Q3 2021, with a decline of 43.9%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $22.07 million (Q1 2026), $25.21 million (Q4 2025) and $27.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Alerus Financial | 789.05 Mn | 386.47 Mn | - | 22.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.91 Mn |
| Mar 31, 2026 | 22.07 Mn |
| Dec 31, 2025 | 25.21 Mn |
| Sep 30, 2025 | 27.51 Mn |
| Jun 30, 2025 | 27.39 Mn |
| Mar 31, 2025 | 27.02 Mn |
| Dec 31, 2024 | 29.02 Mn |
| Sep 30, 2024 | 29.67 Mn |
| Jun 30, 2024 | 29.02 Mn |
| Mar 31, 2024 | 26.82 Mn |
| Dec 31, 2023 | 23.14 Mn |
| Sep 30, 2023 | 21.64 Mn |
| Jun 30, 2023 | 18.11 Mn |
| Mar 31, 2023 | 14.15 Mn |
| Dec 31, 2022 | 8.85 Mn |
| Sep 30, 2022 | 3.96 Mn |
| Jun 30, 2022 | 1.65 Mn |
| Mar 31, 2022 | 1.39 Mn |
| Dec 31, 2021 | 1.42 Mn |
| Sep 30, 2021 | 1.42 Mn |
Alerus Financial Interest 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=interest-expenses&ticker=ALRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=ALRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();