Rockwell Medical (RMTI) Long-Term Debt Repayments (2010 - 2026)
Rockwell Medical (RMTI) recorded Long-Term Debt Repayments of $117,000 in Q2 2026, down 20.9% from $148,000 a year earlier and down 40.9% from the prior quarter.
Rockwell Medical (RMTI) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Rockwell Medical's Long-Term Debt Repayments came in at $637,000 as of Jun 30, 2026, down 7.7% year-over-year; for FY2025, it was $664,000, up 2.8% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -2.7% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $646,000 in FY2024 (-67.7%), $2 million in FY2023 (-83.0%), $11.75 million in FY2022 (+668.0%) and $1.53 million in FY2021 (+100.5%).
- The Q2 2026 figure is the lowest quarterly Long-Term Debt Repayments since Q1 2013.
- On a year-over-year basis, Long-Term Debt Repayments has declined for four consecutive quarters, with an average decline of 21.6% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 472.1% in Q4 2022, against a decline of 83.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $198,000 (Q1 2026), $198,000 (Q4 2025) and $124,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | - |
| 10 | Rockwell Medical | 27.57 Mn | -69.83 Mn | 3.24 Mn | 117,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117,000.00 |
| Mar 31, 2026 | 313,000.00 |
| Dec 31, 2025 | 309,000.00 |
| Sep 30, 2025 | 124,000.00 |
| Jun 30, 2025 | 148,000.00 |
| Mar 31, 2025 | 347,000.00 |
| Dec 31, 2024 | 343,000.00 |
| Sep 30, 2024 | 140,000.00 |
| Jun 30, 2024 | 138,000.00 |
| Mar 31, 2024 | 382,000.00 |
| Dec 31, 2023 | 1.88 Mn |
| Sep 30, 2023 | 875,000.00 |
| Jun 30, 2023 | 130,000.00 |
| Mar 31, 2023 | 631,000.00 |
| Dec 31, 2022 | 5.98 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 2.69 Mn |
| Dec 31, 2021 | 1.62 Mn |
| Sep 30, 2021 | 656,000.00 |
Rockwell Medical Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=RMTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=RMTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();