Rapid Micro Biosystems (RPID) Total Non-Current Liabilities (2020 - 2026)
Rapid Micro Biosystems (RPID) reported Total Non-Current Liabilities of $40.35 million for Q2 2026, up 94.7% from $20.73 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Rapid Micro Biosystems (RPID) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Rapid Micro Biosystems posted Total Non-Current Liabilities of $41.25 million, up 83.2% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -26.5% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $22.52 million in FY2024 (-10.6%), $25.2 million in FY2023 (-4.0%), $26.25 million in FY2022 (+38.3%) and $18.98 million in FY2021 (-90.2%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $18.45 million in Q3 2021 and a high of $41.63 million in Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with growth averaging 43.4% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 112.0%); the low point was Q2 2022 (a decline of 92.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $41.63 million (Q1 2026), $41.25 million (Q4 2025) and $39.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Rapid Micro Biosystems | 39.40 Mn | -82.86 Mn | 1.21 Mn | 40.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.29 Mn |
| Mar 31, 2026 | 41.51 Mn |
| Dec 31, 2025 | 41.06 Mn |
| Sep 30, 2025 | 39.38 Mn |
| Jun 30, 2025 | 20.73 Mn |
| Mar 31, 2025 | 19.64 Mn |
| Dec 31, 2024 | 22.52 Mn |
| Sep 30, 2024 | 21.18 Mn |
| Jun 30, 2024 | 22.22 Mn |
| Mar 31, 2024 | 21.52 Mn |
| Dec 31, 2023 | 25.20 Mn |
| Sep 30, 2023 | 22.12 Mn |
| Jun 30, 2023 | 21.07 Mn |
| Mar 31, 2023 | 20.60 Mn |
| Dec 31, 2022 | 26.25 Mn |
| Sep 30, 2022 | 22.68 Mn |
| Jun 30, 2022 | 20.48 Mn |
| Mar 31, 2022 | 22.25 Mn |
| Dec 31, 2021 | 18.98 Mn |
| Sep 30, 2021 | 18.45 Mn |
API Access
Rapid Micro Biosystems Total Non-Current 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-non-current-liabilities&ticker=RPID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RPID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();