Twist Bioscience (TWST) Total Current Liabilities (2018 - 2026)
Twist Bioscience (TWST) reported Total Current Liabilities of $120.26 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 38.1% from $87.07 million a year earlier and up 0.2% from the prior quarter.
Twist Bioscience (TWST) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Twist Bioscience posted Total Current Liabilities of $91.41 million, up 28.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- By fiscal year, Total Current Liabilities came in at $71.01 million in FY2024 (-3.2%), $73.32 million in FY2023 (-19.1%), $90.66 million in FY2022 (+43.8%) and $63.05 million in FY2021 (+75.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2018.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 21.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q1 2022 (growth of 115.7%); the low point was fiscal Q1 2024 (a decline of 22.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $119.98 million (Q2 2026), $80.44 million (Q1 2026) and $91.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Twist Bioscience | 10.01 Bn | 9.25 Bn | 62.45 Mn | 120.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.26 Mn |
| Mar 31, 2026 | 119.98 Mn |
| Dec 31, 2025 | 80.44 Mn |
| Sep 30, 2025 | 91.41 Mn |
| Jun 30, 2025 | 87.07 Mn |
| Mar 31, 2025 | 74.98 Mn |
| Dec 31, 2024 | 69.65 Mn |
| Sep 30, 2024 | 71.01 Mn |
| Jun 30, 2024 | 73.76 Mn |
| Mar 31, 2024 | 67.49 Mn |
| Dec 31, 2023 | 65.23 Mn |
| Sep 30, 2023 | 73.32 Mn |
| Jun 30, 2023 | 72.82 Mn |
| Mar 31, 2023 | 72.11 Mn |
| Dec 31, 2022 | 83.84 Mn |
| Sep 30, 2022 | 90.66 Mn |
| Jun 30, 2022 | 92.69 Mn |
| Mar 31, 2022 | 84.63 Mn |
| Dec 31, 2021 | 80.03 Mn |
| Sep 30, 2021 | 63.05 Mn |
Twist Bioscience Total 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-current-liabilities&ticker=TWST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=TWST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();