Endovia Health Sciences (EDVA) Operating Expenses (2012 - 2026)
Endovia Health Sciences' Operating Expenses was $2.01 million in Q2 2026, up 33.6% from $1.5 million a year earlier and up 104.7% from the prior quarter.
Endovia Health Sciences (EDVA) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Endovia Health Sciences' Operating Expenses was $13.56 million through Jun 30, 2026, up 141.3% year-over-year; for FY2025, it was $14.2 million, up 45.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $9.78 million in FY2024 (-53.1%), $20.86 million in FY2023 (-23.6%), $27.31 million in FY2022 (-17.2%) and $33 million in FY2021 (+83.1%).
- Quarterly Operating Expenses has moved between -$529,231 (Q4 2024) and $12.89 million (Q3 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in two of the last six quarters, with growth averaging 9.1%.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2021 (growth of 414.2%); the worst was Q2 2025 (a decline of 61.8%).
- Per Business Quant data, EDVA's Operating Expenses in the three quarters before Q2 2026 was $980,818 (Q1 2026), $1.02 million (Q4 2025) and $9.54 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 375.10 Bn | 363.73 Bn | 8.42 Bn | 3.72 Bn |
| 2 | Diageo | 209.77 Bn | 202.17 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 182.89 Bn | 182.89 Bn | 2.06 Bn | 1.49 Bn |
| 4 | Pepsico | 175.39 Bn | 135.83 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Anheuser-Busch InBev | 138.58 Bn | 107.33 Bn | 9.58 Bn | 2.35 Bn |
| 6 | Monster Beverage | 82.00 Bn | 70.25 Bn | 1.42 Bn | 679.19 Mn |
| 7 | Coca-Cola Europacific Partners | 46.20 Bn | 39.44 Bn | - | -1.63 Bn |
| 8 | Ambev | 45.08 Bn | 31.10 Bn | 2.06 Bn | -263.15 Mn |
| 9 | Keurig Dr Pepper | 42.81 Bn | 43.05 Bn | 3.07 Bn | 2.40 Bn |
| 10 | Endovia Health Sciences | 551,682.92 | -619,316.08 | - | 2.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 980,818.00 |
| Dec 31, 2025 | 1.02 Mn |
| Sep 30, 2025 | 9.54 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 1.68 Mn |
| Dec 31, 2024 | -529,231.00 |
| Sep 30, 2024 | 2.96 Mn |
| Jun 30, 2024 | 3.94 Mn |
| Mar 31, 2024 | 3.41 Mn |
| Dec 31, 2023 | 4.02 Mn |
| Sep 30, 2023 | 5.62 Mn |
| Jun 30, 2023 | 6.00 Mn |
| Mar 31, 2023 | 5.22 Mn |
| Dec 31, 2022 | 6.28 Mn |
| Sep 30, 2022 | 6.88 Mn |
| Jun 30, 2022 | 7.18 Mn |
| Mar 31, 2022 | 6.98 Mn |
| Dec 31, 2021 | 7.83 Mn |
| Sep 30, 2021 | 12.89 Mn |
Endovia Health Sciences 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=EDVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EDVA", "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=EDVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();