Rapid Micro Biosystems (RPID) Receivables (2020 - 2026)
Rapid Micro Biosystems (RPID) posted Receivables of $5.53 million for Q2 2026, down 9.3% from $6.1 million a year earlier and down 14.7% from the prior quarter.
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Analysis
Rapid Micro Biosystems (RPID) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Rapid Micro Biosystems' Receivables came in at $3.28 million, down 56.4% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of -9.7% (FY2020 to FY2025).
- In prior years, Rapid Micro Biosystems' Receivables was $7.53 million in FY2024 (+34.8%), $5.58 million in FY2023 (+1.9%), $5.48 million in FY2022 (+1.5%) and $5.4 million in FY2021 (-1.1%).
- Quarterly Receivables has run from a low of $3.28 million in Q4 2025 to a high of $7.53 million in Q4 2024 over five years.
- On a year-over-year basis, Receivables increased in four of the last eight quarters, with growth averaging 7.1%.
- The strongest year-over-year quarter for Receivables in the past five years was Q1 2023, with growth of 43.3%; the weakest was Q4 2025, with a decline of 56.4%.
- According to Business Quant data, Receivables for the three prior quarters was $6.49 million (Q1 2026), $3.28 million (Q4 2025) and $5.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Rapid Micro Biosystems | 49.10 Mn | -73.16 Mn | 1.21 Mn | 5.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.53 Mn |
| Mar 31, 2026 | 6.49 Mn |
| Dec 31, 2025 | 3.28 Mn |
| Sep 30, 2025 | 5.57 Mn |
| Jun 30, 2025 | 6.10 Mn |
| Mar 31, 2025 | 4.53 Mn |
| Dec 31, 2024 | 7.53 Mn |
| Sep 30, 2024 | 3.97 Mn |
| Jun 30, 2024 | 5.17 Mn |
| Mar 31, 2024 | 5.25 Mn |
| Dec 31, 2023 | 5.58 Mn |
| Sep 30, 2023 | 3.98 Mn |
| Jun 30, 2023 | 3.76 Mn |
| Mar 31, 2023 | 5.62 Mn |
| Dec 31, 2022 | 5.48 Mn |
| Sep 30, 2022 | 4.71 Mn |
| Jun 30, 2022 | 4.22 Mn |
| Mar 31, 2022 | 3.92 Mn |
| Dec 31, 2021 | 5.40 Mn |
| Sep 30, 2021 | 6.07 Mn |
API Access
Rapid Micro Biosystems Receivables 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=receivables&ticker=RPID&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RPID&period=max&api_key=YOUR_API_KEY");
const data = await res.json();