BioNexus Gene Lab (BGLC) Operating Expenses (2018 - 2026)
BioNexus Gene Lab (BGLC) recorded Operating Expenses of $416,383 in Q2 2026, down 65.0% from $1.19 million a year earlier and down 30.3% from the prior quarter.
BioNexus Gene Lab (BGLC) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, BioNexus Gene Lab's Operating Expenses came in at $3.25 million as of Jun 30, 2026, down 43.6% year-over-year; for FY2025, it came in at $4.48 million, down 9.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $4.94 million in FY2024, -$4.41 million in FY2023, $1.73 million in FY2022 (+35.4%) and $1.28 million in FY2021 (-4.2%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses has declined for four consecutive quarters, with an average decline of 25.3% over the last six quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 635.9% in Q3 2023, against a decline of 65.0% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $597,386 (Q1 2026), $1.05 million (Q4 2025) and $1.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 415.20 Mn |
| 10 | BioNexus Gene Lab | 2.41 Mn | -4.96 Mn | 12,982.00 | 416,383.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 416,383.00 |
| Mar 31, 2026 | 597,386.00 |
| Dec 31, 2025 | 1.05 Mn |
| Sep 30, 2025 | 1.19 Mn |
| Jun 30, 2025 | 1.19 Mn |
| Mar 31, 2025 | 1.05 Mn |
| Dec 31, 2024 | 1.40 Mn |
| Sep 30, 2024 | 2.13 Mn |
| Jun 30, 2024 | 759,657.00 |
| Mar 31, 2024 | -645,906.00 |
| Dec 31, 2023 | -1.98 Mn |
| Sep 30, 2023 | 3.08 Mn |
| Jun 30, 2023 | 807,077.00 |
| Mar 31, 2023 | 536,872.00 |
| Dec 31, 2022 | 487,858.00 |
| Sep 30, 2022 | 418,824.00 |
| Jun 30, 2022 | 454,783.00 |
| Mar 31, 2022 | 368,036.00 |
| Dec 31, 2021 | 182,831.00 |
| Sep 30, 2021 | 383,401.00 |
BioNexus Gene Lab 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=BGLC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BGLC", "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=BGLC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();