Twist Bioscience (TWST) Operating Expenses (2017 - 2026)
Twist Bioscience (TWST) recorded Operating Expenses of $154.66 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 22.6% from $126.18 million a year earlier but down 1.2% from the prior quarter.
Twist Bioscience (TWST) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, Twist Bioscience's Operating Expenses came in at $576.78 million as of Jun 30, 2026, up 14.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $512.83 million, down 3.9% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $533.81 million in FY2024 (+15.5%), $462.27 million in FY2023 (+5.5%), $438.34 million in FY2022 (+53.8%) and $285.06 million in FY2021 (+23.8%).
- Quarterly Operating Expenses has ranged from $77.76 million in fiscal Q4 2021 to $170.39 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 60.7% in fiscal Q1 2022, against a decline of 25.9% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $156.58 million (Q2 2026), $136.6 million (Q1 2026) and $128.94 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | 9.87 Bn |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | 11.66 Bn |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | 4.06 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 | 4.32 Bn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Twist Bioscience | 9.63 Bn | 8.87 Bn | 62.45 Mn | 154.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.66 Mn |
| Mar 31, 2026 | 156.58 Mn |
| Dec 31, 2025 | 136.60 Mn |
| Sep 30, 2025 | 128.94 Mn |
| Jun 30, 2025 | 126.18 Mn |
| Mar 31, 2025 | 134.35 Mn |
| Dec 31, 2024 | 123.36 Mn |
| Sep 30, 2024 | 120.75 Mn |
| Jun 30, 2024 | 170.39 Mn |
| Mar 31, 2024 | 124.19 Mn |
| Dec 31, 2023 | 118.48 Mn |
| Sep 30, 2023 | 117.06 Mn |
| Jun 30, 2023 | 124.52 Mn |
| Mar 31, 2023 | 121.82 Mn |
| Dec 31, 2022 | 98.87 Mn |
| Sep 30, 2022 | 114.18 Mn |
| Jun 30, 2022 | 117.28 Mn |
| Mar 31, 2022 | 108.93 Mn |
| Dec 31, 2021 | 97.96 Mn |
| Sep 30, 2021 | 77.76 Mn |
Twist Bioscience Operating Expenses 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=operating-expenses&ticker=TWST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TWST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();