Zymeworks (ZYME) Operating Expenses (2021 - 2026)
Zymeworks (ZYME) posted Operating Expenses of $46.77 million for Q2 2026, down 5.3% from $49.4 million a year earlier and down 5.6% from the prior quarter.
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Analysis
Zymeworks (ZYME) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Zymeworks was $192.69 million, down 6.3% year-over-year; for FY2025, it was $198.51 million, down 7.0% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Zymeworks' Operating Expenses was $213.41 million in FY2024 (-0.3%), $214.07 million in FY2023 (-24.1%), $281.95 million in FY2022 (+16.4%) and $242.31 million in FY2021 (+7.0%).
- Quarterly Operating Expenses has run from a low of $40.35 million in Q4 2023 to a high of $83.1 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 36.9%; the weakest was Q4 2023, with a decline of 51.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $49.53 million (Q1 2026), $46.67 million (Q4 2025) and $49.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Zymeworks | 1.94 Bn | 820.54 Mn | - | 46.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.77 Mn |
| Mar 31, 2026 | 49.53 Mn |
| Dec 31, 2025 | 46.67 Mn |
| Sep 30, 2025 | 49.72 Mn |
| Jun 30, 2025 | 49.40 Mn |
| Mar 31, 2025 | 52.72 Mn |
| Dec 31, 2024 | 53.25 Mn |
| Sep 30, 2024 | 50.21 Mn |
| Jun 30, 2024 | 62.13 Mn |
| Mar 31, 2024 | 47.83 Mn |
| Dec 31, 2023 | 40.35 Mn |
| Sep 30, 2023 | 49.74 Mn |
| Jun 30, 2023 | 61.12 Mn |
| Mar 31, 2023 | 62.86 Mn |
| Dec 31, 2022 | 83.10 Mn |
| Sep 30, 2022 | 52.99 Mn |
| Jun 30, 2022 | 71.27 Mn |
| Mar 31, 2022 | 74.60 Mn |
| Dec 31, 2021 | 60.72 Mn |
| Sep 30, 2021 | 65.36 Mn |
API Access
Zymeworks 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=ZYME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ZYME", "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=ZYME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();