ALR Technologies SG (ALRTF) Notes Payables (2022 - 2025)
ALR Technologies SG (ALRTF) recorded Notes Payables of $2.16 million in the quarter ended Dec 31, 2025, unchanged from $2.16 million a year earlier.
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Analysis
ALR Technologies SG (ALRTF) Notes Payables (2022 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2022, ALR Technologies SG's Notes Payables history includes 7 quarters.
- Annual Notes Payables has a three-year compound annual growth rate of 0.0% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Notes Payables came in at $2.16 million in the year ended Dec 31, 2024 (unchanged), $2.16 million in the year ended Dec 31, 2023 (unchanged) and $2.16 million in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | ALR Technologies SG | 12.91 Mn | 12.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.16 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Dec 31, 2024 | 2.16 Mn |
| Jun 30, 2024 | 2.16 Mn |
| Dec 31, 2023 | 2.16 Mn |
| Jun 30, 2023 | 2.16 Mn |
| Dec 31, 2022 | 2.16 Mn |
API Access
ALR Technologies SG Notes Payables 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=notes-payables&ticker=ALRTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=ALRTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();