ALR Technologies SG (ALRTF) Debt Ratio (2021 - 2025)
ALR Technologies SG's (ALRTF) Debt Ratio came in at 600.58 for the quarter ended Dec 31, 2025, up 82.2% from 329.68 a year earlier.
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Analysis
ALR Technologies SG (ALRTF) Debt Ratio (2021 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2021, ALR Technologies SG has reported Debt Ratio for 8 quarters.
- Annual Debt Ratio has increased for three consecutive years.
- In prior years, ALR Technologies SG's Debt Ratio was 329.68 in the year ended Dec 31, 2024 (+120.4%), 149.56 in the year ended Dec 31, 2023 (+184.5%), 52.57 in the year ended Dec 31, 2022 (-40.4%) and 88.25 in the year ended Dec 31, 2021.
- Quarterly Debt Ratio has run from a low of 32.39 in the quarter ended Jun 30, 2023 to a high of 852.21 in the quarter ended Jun 30, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 0.28 |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 0.33 |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 0.04 |
| 10 | ALR Technologies SG | 12.91 Mn | 12.84 Mn | - | 600.58 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 600.58 |
| Jun 30, 2025 | 852.21 |
| Dec 31, 2024 | 329.68 |
| Jun 30, 2024 | 534.00 |
| Dec 31, 2023 | 149.56 |
| Jun 30, 2023 | 32.39 |
| Dec 31, 2022 | 52.57 |
| Dec 31, 2021 | 88.25 |
API Access
ALR Technologies SG Debt Ratio 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=debt-ratio&ticker=ALRTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ALRTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();