Yarrow Bioscience (YARW) Operating Expenses (2016 - 2026)
Yarrow Bioscience (YARW) recorded Operating Expenses of $3.2 million in Q2 2026, down 58.0% from $7.61 million a year earlier and down 18.0% from the prior quarter.
Yarrow Bioscience (YARW) Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Yarrow Bioscience's Operating Expenses came in at $24.11 million as of Jun 30, 2026, down 44.0% year-over-year; for FY2025, it was $30.32 million, down 31.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -35.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $44.14 million in FY2024 (+48.7%), $29.68 million in FY2023 (-14.6%), $34.77 million in FY2022 (-12.7%) and $39.84 million in FY2021 (-85.4%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses in data going back to Q4 2016.
- On a year-over-year basis, Operating Expenses rose in three of the last six quarters, with growth averaging 12.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 108.1% in Q3 2024, against a decline of 64.6% in Q4 2021 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Yarrow Bioscience | 20.76 Mn | -95.75 Mn | - | 3.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.20 Mn |
| Mar 31, 2026 | 3.90 Mn |
| Jun 30, 2025 | 7.61 Mn |
| Mar 31, 2025 | 9.40 Mn |
| Dec 31, 2024 | 12.85 Mn |
| Sep 30, 2024 | 13.21 Mn |
| Jun 30, 2024 | 10.59 Mn |
| Mar 31, 2024 | 7.48 Mn |
| Dec 31, 2023 | 6.91 Mn |
| Sep 30, 2023 | 6.35 Mn |
| Jun 30, 2023 | 10.45 Mn |
| Mar 31, 2023 | 5.97 Mn |
| Dec 31, 2022 | 7.99 Mn |
| Sep 30, 2022 | 9.50 Mn |
| Jun 30, 2022 | 8.41 Mn |
| Mar 31, 2022 | 8.87 Mn |
| Dec 31, 2021 | 9.12 Mn |
| Sep 30, 2021 | 10.90 Mn |
| Jun 30, 2021 | 9.84 Mn |
| Mar 31, 2021 | 9.99 Mn |
Yarrow 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=YARW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "YARW", "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=YARW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();