ALR Technologies SG (ALRTF) Operating Expenses (2022 - 2025)
ALR Technologies SG (ALRTF) recorded Operating Expenses of $2.88 million in the year ended Dec 31, 2025, down 15.5% from $3.41 million a year earlier.
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Analysis
ALR Technologies SG (ALRTF) Operating Expenses (2022 - 2025) Analysis & Trends
Starting with the year ended Dec 31, 2020, ALR Technologies SG's Operating Expenses history includes 6 years.
- Annual Operating Expenses has a five-year compound annual growth rate of 0.1% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the lowest annual Operating Expenses since the year ended Dec 31, 2020.
- Per Business Quant data, ALRTF's Operating Expenses was $3.41 million in the year ended Dec 31, 2024 (-29.2%), $4.82 million in the year ended Dec 31, 2023 (+12.8%), $4.27 million in the year ended Dec 31, 2022 (+44.9%) and $2.95 million in the year ended Dec 31, 2021 (+2.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | ALR Technologies SG | 12.91 Mn | 12.84 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 620,706.00 |
| Jun 30, 2024 | 813,331.00 |
| Jun 30, 2023 | 1.27 Mn |
| Jun 30, 2022 | 929,174.00 |
API Access
ALR Technologies SG Operating 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=operating-expenses&ticker=ALRTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALRTF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ALRTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();