ALR Technologies SG (ALRTF) Accumulated Expenses (2021 - 2025)
ALR Technologies SG (ALRTF) reported Accumulated Expenses of $100,849 for the quarter ended Dec 31, 2025, down 66.4% from $300,134 a year earlier.
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Analysis
ALR Technologies SG (ALRTF) Accumulated Expenses (2021 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2021, ALR Technologies SG's Accumulated Expenses record includes 5 quarters.
- Accumulated Expenses has a four-year compound annual growth rate of -25.2% (years ended Dec 2021 to Dec 2025).
- By year, Accumulated Expenses came in at $300,134 in the year ended Dec 31, 2024 (-5.7%), $318,285 in the year ended Dec 31, 2023 (+10.3%), $288,587 in the year ended Dec 31, 2022 (-10.4%) and $322,087 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | ALR Technologies SG | 12.91 Mn | 12.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 100,849.00 |
| Dec 31, 2024 | 300,134.00 |
| Dec 31, 2023 | 318,285.00 |
| Dec 31, 2022 | 288,587.00 |
| Dec 31, 2021 | 322,087.00 |
API Access
ALR Technologies SG 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=ALRTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ALRTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();