CitroTech (CITR) Operating Expenses (2020 - 2026)
CitroTech (CITR) posted Operating Expenses of $3.77 million for Q2 2026, up 1.9% from $3.71 million a year earlier but down 21.2% from the prior quarter.
CitroTech (CITR) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at CitroTech was $19.31 million, up 91.8% year-over-year; for FY2025, it came in at $18.88 million, up 208.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 180.2% (FY2020 to FY2025).
- In prior years, CitroTech's Operating Expenses was $6.11 million in FY2024 (-42.4%), $10.62 million in FY2023 (+256.2%), $2.98 million in FY2022 and $58,213 in FY2021 (-46.8%).
- Quarterly Operating Expenses has run from a low of $13,250 in Q3 2021 to a high of $9.26 million in Q3 2023 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last seven quarters, with growth averaging 168.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2025, with growth of 577.1%; the weakest was Q3 2024, with a decline of 92.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $4.79 million (Q1 2026), $6.22 million (Q4 2025) and $4.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 928.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 907.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 3.15 Bn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 1.60 Bn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 7.63 Bn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 169.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 298.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | 99.60 Mn |
| 10 | CitroTech | 65.06 Mn | 45.79 Mn | 9,038.00 | 3.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.77 Mn |
| Mar 31, 2026 | 4.79 Mn |
| Dec 31, 2025 | 6.22 Mn |
| Sep 30, 2025 | 4.53 Mn |
| Jun 30, 2025 | 3.71 Mn |
| Mar 31, 2025 | 4.43 Mn |
| Dec 31, 2024 | 1.27 Mn |
| Sep 30, 2024 | 668,405.00 |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | 3.07 Mn |
| Dec 31, 2023 | 444,335.00 |
| Sep 30, 2023 | 9.26 Mn |
| Jun 30, 2023 | 445,641.00 |
| Mar 31, 2023 | 470,843.00 |
| Dec 31, 2022 | 263,760.00 |
| Sep 30, 2022 | 314,224.00 |
| Jun 30, 2022 | 2.36 Mn |
| Mar 31, 2022 | 42,766.00 |
| Dec 31, 2021 | 44,963.00 |
| Sep 30, 2021 | 13,250.00 |
CitroTech 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=CITR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CITR", "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=CITR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();