Rockwell Medical (RMTI) Total Liabilities (2009 - 2026)
Rockwell Medical (RMTI) posted Total Liabilities of $23.95 million for Q3 2026, up 17.0% from $20.47 million a year earlier and up 11.7% from the prior quarter.
Rockwell Medical (RMTI) Total Liabilities (2009 - 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%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 13.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2026, with growth of 17.0%; the weakest was Q1 2023, with a decline of 33.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $21.44 million (Q2 2026), $21.57 million (Q1 2026) and $20.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 59.47 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 56.62 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 39.65 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 23.79 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 19.59 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 3.18 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 20.79 Bn |
| 10 | Rockwell Medical | 27.92 Mn | -68.30 Mn | 3.11 Mn | 23.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.95 Mn |
| 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 |
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();