ALR Technologies SG (ALRTF) Research & Development (2022 - 2025)
ALR Technologies SG (ALRTF) recorded Research & Development of $793,327 in the year ended Dec 31, 2025, down 10.2% from $883,866 a year earlier.
ALR Technologies SG (ALRTF) Research & Development (2022 - 2025) Analysis & Trends
Starting with the year ended Dec 31, 2020, ALR Technologies SG's Research & Development history includes 6 years.
- Annual Research & Development has a five-year compound annual growth rate of -11.2% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 is the lowest annual Research & Development since the year ended Dec 31, 2022.
- Per Business Quant data, ALRTF's Research & Development was $883,866 in the year ended Dec 31, 2024 (-37.1%), $1.4 million in the year ended Dec 31, 2023 (+191.3%), $482,141 in the year ended Dec 31, 2022 (-3.4%) and $498,996 in the year ended Dec 31, 2021 (-65.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | ALR Technologies SG | 12.91 Mn | 12.84 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 140,549.00 |
| Jun 30, 2024 | 233,850.00 |
| Jun 30, 2023 | 652,759.00 |
| Jun 30, 2022 | 121,551.00 |
ALR Technologies SG Research & Development 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=research-and-development&ticker=ALRTF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ALRTF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();