Birchtech (BCHT) Accumulated Expenses (2012 - 2026)
Birchtech's Accumulated Expenses came in at $750,000 for Q2 2026.
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Analysis
Birchtech (BCHT) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2020, Birchtech's Accumulated Expenses was $259,230, up 14.7% from FY2019.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 8.9% (FY2015 to FY2020).
- Going back by year, Accumulated Expenses was $226,065 in FY2019 (+133.3%), $96,902 in FY2018 (+25.0%), $77,500 in FY2017 (-1.6%) and $78,750 in FY2016 (-53.5%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 80.76 Bn | 72.50 Bn | 1.95 Bn |
| 2 | Xylem | 25.08 Bn | 20.33 Bn | 963.00 Mn |
| 3 | Veralto | 24.81 Bn | 17.46 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.83 Bn | 3.10 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 2.55 Bn | 2.38 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 958.79 Mn | 920.26 Mn | 34.36 Mn |
| 7 | Energy Recovery | 342.49 Mn | 17.65 Mn | 8.96 Mn |
| 8 | Cadiz | 333.64 Mn | 302.09 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 213.04 Mn | 92.67 Mn | - |
| 10 | Birchtech | 22.21 Mn | -8.39 Mn | 1.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 750,000.00 |
| Sep 30, 2021 | 1,997.00 |
| Jun 30, 2021 | 2,118.00 |
| Mar 31, 2021 | 88,412.00 |
| Dec 31, 2020 | 259,230.00 |
| Sep 30, 2020 | 140,346.00 |
| Jun 30, 2020 | 268,034.00 |
| Mar 31, 2020 | 128,550.00 |
| Dec 31, 2019 | 226,065.00 |
| Sep 30, 2019 | 94,957.00 |
| Jun 30, 2019 | 105,383.00 |
| Mar 31, 2019 | 51,365.00 |
| Dec 31, 2018 | 96,902.00 |
| Sep 30, 2018 | 42,597.00 |
| Jun 30, 2018 | 51,665.00 |
| Mar 31, 2018 | 38,750.00 |
| Dec 31, 2017 | 77,500.00 |
| Sep 30, 2017 | 38,750.00 |
| Jun 30, 2017 | 77,500.00 |
| Mar 31, 2017 | 38,750.00 |
API Access
Birchtech Accumulated 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=accumulated-expenses&ticker=BCHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BCHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();