Alerus Financial (ALRS) EBITDA (2018 - 2026)
Alerus Financial (ALRS) recorded EBITDA of $53.57 million in Q2 2026, down 6.9% from $57.57 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Alerus Financial (ALRS) EBITDA (2018 - 2026) Analysis & Trends
On a TTM basis, Alerus Financial's EBITDA came in at $148.22 million as of Jun 30, 2026, down 16.1% year-over-year; for FY2025, it came in at $145.05 million, down 1.7% from FY2024.
- Annual EBITDA has a four-year compound annual growth rate of 14.8% (FY2021 to FY2025).
- Across earlier years, EBITDA came in at $147.54 million in FY2024 (+45.5%), $101.42 million in FY2023 (+32.6%), $76.5 million in FY2022 (-8.4%) and $83.5 million in FY2021.
- Quarterly EBITDA has ranged from -$14.37 million in Q4 2025 to $57.57 million in Q2 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in six of the last seven quarters, with growth averaging 65.9%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 329.9% in Q4 2024, against a decline of 71.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.6 million (Q1 2026), -$14.37 million (Q4 2025) and $53.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Alerus Financial | 789.05 Mn | 386.47 Mn | - | 53.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.57 Mn |
| Mar 31, 2026 | 55.60 Mn |
| Dec 31, 2025 | -14.37 Mn |
| Sep 30, 2025 | 53.42 Mn |
| Jun 30, 2025 | 57.57 Mn |
| Mar 31, 2025 | 48.42 Mn |
| Dec 31, 2024 | 32.12 Mn |
| Sep 30, 2024 | 38.65 Mn |
| Jun 30, 2024 | 39.32 Mn |
| Mar 31, 2024 | 37.44 Mn |
| Dec 31, 2023 | 7.47 Mn |
| Sep 30, 2023 | 35.32 Mn |
| Jun 30, 2023 | 31.85 Mn |
| Mar 31, 2023 | 26.77 Mn |
| Dec 31, 2022 | 25.73 Mn |
| Sep 30, 2022 | 18.64 Mn |
| Jun 30, 2022 | 15.58 Mn |
| Mar 31, 2022 | 16.55 Mn |
| Dec 31, 2021 | 20.29 Mn |
| Sep 30, 2021 | 20.72 Mn |
API Access
Alerus Financial EBITDA 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=ebitda&ticker=ALRS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ALRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();