Rapid Micro Biosystems (RPID) Long-Term Debt Repayments (2021 - 2026)
Rapid Micro Biosystems (RPID) reported Long-Term Debt Repayments of $9,000 for Q2 2026, up 28.6% from $7,000 a year earlier and unchanged from the prior quarter.
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Analysis
Rapid Micro Biosystems (RPID) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Rapid Micro Biosystems' Long-Term Debt Repayments came in at $34,000, up 17.2% year-over-year; for FY2025, it came in at $30,000, down 14.3% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -72.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $35,000 in FY2024 (-5.4%), $37,000 in FY2023 (+12.1%), $33,000 in FY2022 (-99.9%) and $26.16 million in FY2021 (+45.3%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $6,000 in Q4 2024 and a high of $10,000 in Q2 2024.
- Year over year, Long-Term Debt Repayments has now increased in each of the last three quarters, with an average decline of 2.6% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2025 (growth of 33.3%); the low point was Q4 2024 (a decline of 40.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9,000 (Q1 2026), $8,000 (Q4 2025) and $8,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Rapid Micro Biosystems | 39.40 Mn | -82.86 Mn | 1.21 Mn | 9,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9,000.00 |
| Mar 31, 2026 | 9,000.00 |
| Dec 31, 2025 | 8,000.00 |
| Sep 30, 2025 | 8,000.00 |
| Jun 30, 2025 | 7,000.00 |
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | 6,000.00 |
| Sep 30, 2024 | 9,000.00 |
| Jun 30, 2024 | 10,000.00 |
| Mar 31, 2024 | 10,000.00 |
| Dec 31, 2023 | 10,000.00 |
| Sep 30, 2023 | 9,000.00 |
| Jun 30, 2023 | 9,000.00 |
| Mar 31, 2023 | 9,000.00 |
| Dec 31, 2022 | 9,000.00 |
| Sep 30, 2022 | 8,000.00 |
| Jun 30, 2022 | 8,000.00 |
| Mar 31, 2022 | 8,000.00 |
| Dec 31, 2021 | 12,000.00 |
API Access
Rapid Micro Biosystems 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=RPID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "RPID", "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=RPID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();