Rockwell Medical (RMTI) Non-Current Assets (2010 - 2026)
Rockwell Medical's Non-Current Assets was $20.17 million in Q2 2026, down 4.0% from $21.02 million a year earlier and down 1.5% from the prior quarter.
Rockwell Medical (RMTI) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Rockwell Medical came in at $18.98 million, down 14.4% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $22.18 million in FY2024 (-5.2%), $23.4 million in FY2023 (+106.6%), $11.33 million in FY2022 (-14.8%) and $13.29 million in FY2021 (+60.5%).
- Quarterly Non-Current Assets has moved between $10.47 million (Q2 2023) and $24.43 million (Q3 2023) over five years.
- Compared with a year earlier, Non-Current Assets has declined for eight straight quarters, with an average decline of 8.4% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2024 (growth of 122.8%); the worst was Q4 2022 (a decline of 14.8%).
- Per Business Quant data, RMTI's Non-Current Assets in the three quarters before Q2 2026 was $20.48 million (Q1 2026), $18.98 million (Q4 2025) and $19.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Rockwell Medical | 33.92 Mn | -63.47 Mn | 3.24 Mn | 20.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.17 Mn |
| Mar 31, 2026 | 20.48 Mn |
| Dec 31, 2025 | 18.98 Mn |
| Sep 30, 2025 | 19.97 Mn |
| Jun 30, 2025 | 21.02 Mn |
| Mar 31, 2025 | 20.93 Mn |
| Dec 31, 2024 | 22.18 Mn |
| Sep 30, 2024 | 22.87 Mn |
| Jun 30, 2024 | 23.28 Mn |
| Mar 31, 2024 | 24.03 Mn |
| Dec 31, 2023 | 23.40 Mn |
| Sep 30, 2023 | 24.43 Mn |
| Jun 30, 2023 | 10.47 Mn |
| Mar 31, 2023 | 10.78 Mn |
| Dec 31, 2022 | 11.33 Mn |
| Sep 30, 2022 | 11.83 Mn |
| Jun 30, 2022 | 11.87 Mn |
| Mar 31, 2022 | 12.64 Mn |
| Dec 31, 2021 | 13.29 Mn |
| Sep 30, 2021 | 12.62 Mn |
Rockwell Medical Non-Current Assets 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-current-assets&ticker=RMTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "RMTI", "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-current-assets&ticker=RMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();