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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Zymeworks | 2.24 Bn | 1.27 Bn | - | 78.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78.86 Mn |
| 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 |
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();