Rockwell Medical (RMTI) Total Liabilities (2010 - 2026)
Rockwell Medical (RMTI) posted Total Liabilities of $21.44 million for Q2 2026, down 3.5% from $22.22 million a year earlier and down 0.6% from the prior quarter.
Rockwell Medical (RMTI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Rockwell Medical's Total Liabilities came in at $20.16 million, down 24.3% from FY2024.
- Annual Total Liabilities has declined for four consecutive years, with a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- In prior years, Rockwell Medical's Total Liabilities was $26.62 million in FY2024 (-13.8%), $30.88 million in FY2023 (-5.1%), $32.53 million in FY2022 (-29.3%) and $46.04 million in FY2021 (+5.6%).
- Quarterly Total Liabilities has run from a low of $20.16 million in Q4 2025 to a high of $47.61 million in Q3 2021 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last eight quarters, with an average decline of 16.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 10.3%; the weakest was Q1 2023, with a decline of 33.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $21.57 million (Q1 2026), $20.16 million (Q4 2025) and $20.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Rockwell Medical | 33.92 Mn | -63.47 Mn | 3.24 Mn | 21.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.44 Mn |
| Mar 31, 2026 | 21.57 Mn |
| Dec 31, 2025 | 20.16 Mn |
| Sep 30, 2025 | 20.47 Mn |
| Jun 30, 2025 | 22.22 Mn |
| Mar 31, 2025 | 22.44 Mn |
| Dec 31, 2024 | 26.62 Mn |
| Sep 30, 2024 | 27.95 Mn |
| Jun 30, 2024 | 29.53 Mn |
| Mar 31, 2024 | 30.08 Mn |
| Dec 31, 2023 | 30.88 Mn |
| Sep 30, 2023 | 31.09 Mn |
| Jun 30, 2023 | 28.51 Mn |
| Mar 31, 2023 | 27.93 Mn |
| Dec 31, 2022 | 32.53 Mn |
| Sep 30, 2022 | 38.05 Mn |
| Jun 30, 2022 | 38.97 Mn |
| Mar 31, 2022 | 42.24 Mn |
| Dec 31, 2021 | 46.04 Mn |
| Sep 30, 2021 | 47.61 Mn |
Rockwell Medical Total Liabilities 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=total-liabilities&ticker=RMTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();