Realloys (ALOY) Research & Development (2015 - 2026)
Realloys (ALOY) posted Research & Development of $34,000 for Q2 2026, unchanged from the prior quarter.
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Analysis
Realloys (ALOY) Research & Development (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Realloys was $272,702, up 30.5% year-over-year; for FY2025, it was $413,594, down 1.0% from FY2024.
- Annual Research & Development has declined for three consecutive years, though with a five-year compound annual growth rate of 34.4% (FY2020 to FY2025).
- In prior years, Realloys' Research & Development was $417,944 in FY2024 (-54.8%), $923,720 in FY2023 (-23.2%), $1.2 million in FY2022 (+87.2%) and $642,872 in FY2021 (+582.3%).
- Quarterly Research & Development has run from a low of $34,000 in Q1 2026 to a high of $370,997 in Q4 2022 over five years.
- On a year-over-year basis, Research & Development increased in 1 of the last four quarters, with an average decline of 20.3%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q3 2022, with growth of 170.1%; the weakest was Q1 2024, with a decline of 69.5%.
- According to Business Quant data, Research & Development for the three prior quarters was $34,000 (Q1 2026), $98,060 (Q4 2025) and $106,642 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Realloys | 579.15 Mn | 579.15 Mn | 475,000.00 | 34,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34,000.00 |
| Mar 31, 2026 | 34,000.00 |
| Dec 31, 2025 | 98,060.00 |
| Sep 30, 2025 | 106,642.00 |
| Dec 31, 2024 | 107,026.00 |
| Sep 30, 2024 | 101,873.00 |
| Jun 30, 2024 | 100,642.00 |
| Mar 31, 2024 | 108,403.00 |
| Dec 31, 2023 | 167,761.00 |
| Sep 30, 2023 | 173,665.00 |
| Jun 30, 2023 | 227,250.00 |
| Mar 31, 2023 | 355,044.00 |
| Dec 31, 2022 | 370,997.00 |
| Sep 30, 2022 | 302,273.00 |
| Jun 30, 2022 | 344,986.00 |
| Mar 31, 2022 | 184,884.00 |
| Dec 31, 2021 | 197,281.00 |
| Sep 30, 2021 | 111,898.00 |
| Jun 30, 2021 | 203,255.00 |
| Mar 31, 2021 | 130,438.00 |
API Access
Realloys 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=ALOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "ALOY", "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=ALOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();