Castellum (CTM) Operating Expenses (2021 - 2026)
Castellum's Operating Expenses came in at $5.81 million for Q2 2026, up 6.8% from $5.44 million a year earlier and up 0.9% from the prior quarter.
Castellum (CTM) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Castellum reported Operating Expenses of $22.27 million, down 5.5% year-over-year; for FY2025, it was $22.18 million, down 13.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $25.51 million in FY2024 (-27.8%), $35.34 million in FY2023 (+28.2%), $27.56 million in FY2022 (+46.6%) and $18.8 million in FY2021 (+145.9%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q1 2025.
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 13.4%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 100.2%), and the weakest in Q3 2024 (a decline of 52.7%).
- Business Quant data shows CTM's Operating Expenses at $5.76 million (Q1 2026), $5.65 million (Q4 2025) and $5.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.25 Bn | 38.75 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 32.15 Bn | 25.32 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Wipro | 21.74 Bn | 16.44 Bn | 738.00 Mn | 2.23 Bn |
| 4 | Td Synnex | 19.84 Bn | 14.00 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Cdw | 19.79 Bn | 17.78 Bn | 1.32 Bn | 891.20 Mn |
| 6 | Cgi | 17.64 Bn | 15.43 Bn | - | - |
| 7 | Arrow Electronics | 11.15 Bn | 10.10 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 7.59 Bn | 6.77 Bn | 865.03 Mn | 634.01 Mn |
| 9 | EPAM Systems | 6.93 Bn | 2.57 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Castellum | 53.84 Mn | 53.84 Mn | 4.72 Mn | 5.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.81 Mn |
| Mar 31, 2026 | 5.76 Mn |
| Dec 31, 2025 | 5.65 Mn |
| Sep 30, 2025 | 5.05 Mn |
| Jun 30, 2025 | 5.44 Mn |
| Mar 31, 2025 | 6.04 Mn |
| Dec 31, 2024 | 5.74 Mn |
| Sep 30, 2024 | 6.34 Mn |
| Jun 30, 2024 | 6.24 Mn |
| Mar 31, 2024 | 7.19 Mn |
| Dec 31, 2023 | 6.12 Mn |
| Sep 30, 2023 | 13.41 Mn |
| Jun 30, 2023 | 7.11 Mn |
| Mar 31, 2023 | 8.71 Mn |
| Dec 31, 2022 | 8.44 Mn |
| Sep 30, 2022 | 6.70 Mn |
| Jun 30, 2022 | 7.43 Mn |
| Mar 31, 2022 | 4.99 Mn |
| Dec 31, 2021 | 6.47 Mn |
| Sep 30, 2021 | 7.67 Mn |
Castellum 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=CTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CTM", "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=CTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();