ALR Technologies SG (ALRTF) Non Operating Interest Expenses (2022 - 2025)
ALR Technologies SG (ALRTF) posted Non Operating Interest Expenses of -$19.74 million for the year ended Dec 31, 2025, compared with -$12.42 million a year earlier.
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Analysis
ALR Technologies SG (ALRTF) Non Operating Interest Expenses (2022 - 2025) Analysis & Trends
Since the year ended Dec 31, 2020, ALR Technologies SG has reported Non Operating Interest Expenses for 6 years.
- The figure for the year ended Dec 31, 2025 stands as the lowest annual Non Operating Interest Expenses in data going back to the year ended Dec 31, 2020.
- Business Quant data shows ALRTF's Non Operating Interest Expenses at -$12.42 million in the year ended Dec 31, 2024, -$2.52 million in the year ended Dec 31, 2023, -$6.35 million in the year ended Dec 31, 2022 and $5.47 million in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | ALR Technologies SG | 12.91 Mn | 12.84 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | -8.76 Mn |
| Jun 30, 2024 | -648,127.00 |
| Jun 30, 2023 | -650,569.00 |
| Jun 30, 2022 | -559,128.00 |
API Access
ALR Technologies SG Non Operating Interest 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=non-operating-interest-expenses&ticker=ALRTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ALRTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();