ALR Technologies SG (ALRTF) Inventory (2023 - 2025)
ALR Technologies SG (ALRTF) recorded Inventory of $10,843 in the quarter ended Dec 31, 2025, down 0.2% from $10,863 a year earlier.
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Analysis
ALR Technologies SG (ALRTF) Inventory (2023 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2023, ALR Technologies SG's Inventory history includes 5 quarters.
- Across earlier years, Inventory came in at $10,863 in the year ended Dec 31, 2024 (-1.2%) and $11,000 in the year ended Dec 31, 2023.
- Quarterly Inventory has ranged from $10,843 in the quarter ended Jun 30, 2025 to $11,000 in the quarter ended Dec 31, 2023 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | ALR Technologies SG | 12.91 Mn | 12.84 Mn | - | 10,843.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10,843.00 |
| Jun 30, 2025 | 10,843.00 |
| Dec 31, 2024 | 10,863.00 |
| Jun 30, 2024 | 10,976.00 |
| Dec 31, 2023 | 11,000.00 |
API Access
ALR Technologies SG Inventory 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=inventory&ticker=ALRTF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ALRTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();