Twist Bioscience (TWST) Total Liabilities (2018 - 2026)
Twist Bioscience (TWST) reported Total Liabilities of $226.7 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 37.1% from $165.41 million a year earlier and up 2.5% from the prior quarter.
Twist Bioscience (TWST) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Twist Bioscience posted Total Liabilities of $168.9 million, up 19.3% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $141.63 million in FY2024 (-7.4%), $152.97 million in FY2023 (-11.1%), $171.99 million in FY2022 (+41.8%) and $121.28 million in FY2021 (+93.7%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Liabilities since fiscal Q4 2018.
- Year over year, Total Liabilities has now increased in each of the last seven quarters, with growth averaging 17.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2022 (growth of 159.6%); the low point was fiscal Q1 2024 (a decline of 12.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $221.12 million (Q2 2026), $181.99 million (Q1 2026) and $168.9 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | - |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | - |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Twist Bioscience | 9.63 Bn | 8.87 Bn | 62.45 Mn | 226.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.70 Mn |
| Mar 31, 2026 | 221.12 Mn |
| Dec 31, 2025 | 181.99 Mn |
| Sep 30, 2025 | 168.90 Mn |
| Jun 30, 2025 | 165.41 Mn |
| Mar 31, 2025 | 155.51 Mn |
| Dec 31, 2024 | 152.64 Mn |
| Sep 30, 2024 | 141.63 Mn |
| Jun 30, 2024 | 146.98 Mn |
| Mar 31, 2024 | 142.72 Mn |
| Dec 31, 2023 | 142.77 Mn |
| Sep 30, 2023 | 152.97 Mn |
| Jun 30, 2023 | 152.78 Mn |
| Mar 31, 2023 | 149.99 Mn |
| Dec 31, 2022 | 163.65 Mn |
| Sep 30, 2022 | 171.99 Mn |
| Jun 30, 2022 | 158.99 Mn |
| Mar 31, 2022 | 158.28 Mn |
| Dec 31, 2021 | 159.99 Mn |
| Sep 30, 2021 | 121.28 Mn |
Twist Bioscience 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=TWST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TWST", "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=TWST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();