Repligen (RGEN) Total Liabilities (2011 - 2026)
Repligen (RGEN) posted Total Liabilities of $838.15 million for Q2 2026, down 0.2% from $839.89 million a year earlier but up 1.6% from the prior quarter.
Powered by 
Analysis
Repligen (RGEN) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Repligen's Total Liabilities came in at $843.57 million, down 1.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- In prior years, Repligen's Total Liabilities was $856.95 million in FY2024 (-1.1%), $866.34 million in FY2023 (+39.5%), $620.9 million in FY2022 (+2.1%) and $608.29 million in FY2021 (+62.8%).
- Quarterly Total Liabilities has run from a low of $526.13 million in Q3 2021 to a high of $888.1 million in Q1 2024 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with growth averaging 4.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 66.4%; the weakest was Q3 2023, with a decline of 12.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $825.31 million (Q1 2026), $843.57 million (Q4 2025) and $840.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.57 Bn | 231.60 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 176.08 Bn | 146.51 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 163.92 Bn | 147.72 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 155.68 Bn | 135.10 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 121.40 Bn | 86.65 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.11 Bn | 103.23 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 66.70 Bn | 61.47 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.26 Bn | 51.41 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.46 Bn | 35.46 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Repligen | 10.11 Bn | 6.99 Bn | 110.04 Mn | 838.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 838.15 Mn |
| Mar 31, 2026 | 825.31 Mn |
| Dec 31, 2025 | 843.57 Mn |
| Sep 30, 2025 | 840.62 Mn |
| Jun 30, 2025 | 839.89 Mn |
| Mar 31, 2025 | 866.66 Mn |
| Dec 31, 2024 | 856.95 Mn |
| Sep 30, 2024 | 813.96 Mn |
| Jun 30, 2024 | 881.57 Mn |
| Mar 31, 2024 | 888.10 Mn |
| Dec 31, 2023 | 866.34 Mn |
| Sep 30, 2023 | 548.99 Mn |
| Jun 30, 2023 | 600.20 Mn |
| Mar 31, 2023 | 621.23 Mn |
| Dec 31, 2022 | 620.90 Mn |
| Sep 30, 2022 | 627.42 Mn |
| Jun 30, 2022 | 639.55 Mn |
| Mar 31, 2022 | 617.42 Mn |
| Dec 31, 2021 | 608.29 Mn |
| Sep 30, 2021 | 526.13 Mn |
API Access
Repligen 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=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "RGEN", "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=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();