Alerus Financial (ALRS) Tax Provisions (2018 - 2026)
Alerus Financial (ALRS) posted Tax Provisions of $6.41 million for Q2 2026, up 5.1% from $6.1 million a year earlier but down 11.9% from the prior quarter.
Alerus Financial (ALRS) Tax Provisions (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Alerus Financial was $8.5 million, down 27.5% year-over-year; for FY2025, it came in at $5.15 million, down 4.2% from FY2024.
- Annual Tax Provisions shows a four-year compound annual growth rate of -25.1% (FY2021 to FY2025).
- In prior years, Alerus Financial's Tax Provisions was $5.38 million in FY2024 (+29.4%), $4.16 million in FY2023 (-65.9%), $12.18 million in FY2022 (-25.7%) and $16.4 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$10.3 million in Q4 2025 to a high of $7.28 million in Q1 2026 over five years.
- On a year-over-year basis, Tax Provisions increased in five of the last six quarters, with growth averaging 97.4%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2025, with growth of 220.8%; the weakest was Q1 2022, with a decline of 38.1%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $7.28 million (Q1 2026), -$10.3 million (Q4 2025) and $5.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Alerus Financial | 789.05 Mn | 386.47 Mn | - | 6.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.41 Mn |
| Mar 31, 2026 | 7.28 Mn |
| Dec 31, 2025 | -10.30 Mn |
| Sep 30, 2025 | 5.10 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Mar 31, 2025 | 4.25 Mn |
| Dec 31, 2024 | -225,000.00 |
| Sep 30, 2024 | 1.59 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 2.09 Mn |
| Dec 31, 2023 | -3.06 Mn |
| Sep 30, 2023 | 2.38 Mn |
| Jun 30, 2023 | 2.54 Mn |
| Mar 31, 2023 | 2.31 Mn |
| Dec 31, 2022 | 3.62 Mn |
| Sep 30, 2022 | 2.94 Mn |
| Jun 30, 2022 | 2.73 Mn |
| Mar 31, 2022 | 2.89 Mn |
| Dec 31, 2021 | 4.03 Mn |
| Sep 30, 2021 | 4.06 Mn |
Alerus Financial Tax Provisions 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=tax-provisions&ticker=ALRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ALRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();