Birchtech (BCHT) Operating Expenses (2010 - 2026)
Birchtech (BCHT) recorded Operating Expenses of $2.66 million in Q2 2026, up 23.3% from $2.15 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Birchtech (BCHT) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Birchtech's Operating Expenses came in at $10.89 million as of Jun 30, 2026, up 0.5% year-over-year; for FY2025, it came in at $10.43 million, down 26.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $14.26 million in FY2024 (-1.2%), $14.43 million in FY2023 (+135.8%), $6.12 million in FY2022 (-63.2%) and $16.62 million in FY2021 (+18.9%).
- Quarterly Operating Expenses has ranged from -$10.77 million in Q4 2022 to $20.59 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in two of the last six quarters, with an average decline of 20.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 37.1% in Q2 2022, against a decline of 83.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.53 million (Q1 2026), $2.48 million (Q4 2025) and $3.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 573.00 Mn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 587.00 Mn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | 109.35 Mn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | 14.84 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 9.81 Mn |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | 5.04 Mn |
| 10 | Birchtech | 30.16 Mn | -441,587.63 | 1.03 Mn | 2.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.66 Mn |
| Mar 31, 2026 | 2.53 Mn |
| Dec 31, 2025 | 2.48 Mn |
| Sep 30, 2025 | 3.22 Mn |
| Jun 30, 2025 | 2.15 Mn |
| Mar 31, 2025 | 2.58 Mn |
| Dec 31, 2024 | 3.40 Mn |
| Sep 30, 2024 | 2.70 Mn |
| Jun 30, 2024 | 4.63 Mn |
| Mar 31, 2024 | -3.53 Mn |
| Dec 31, 2023 | 20.59 Mn |
| Sep 30, 2023 | -2.46 Mn |
| Jun 30, 2023 | -1.76 Mn |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | -10.77 Mn |
| Sep 30, 2022 | 6.92 Mn |
| Jun 30, 2022 | 5.49 Mn |
| Mar 31, 2022 | 4.48 Mn |
| Dec 31, 2021 | 3.95 Mn |
| Sep 30, 2021 | 5.23 Mn |
API Access
Birchtech 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=BCHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BCHT", "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=BCHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();