Cadre Holdings (CDRE) Operating Expenses (2020 - 2025)
Cadre Holdings (CDRE) reported Operating Expenses of $47.95 million for Q3 2025, up 38.6% from $34.59 million a year earlier but down 3.3% from the prior quarter.
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Analysis
Cadre Holdings (CDRE) Operating Expenses (2020 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Cadre Holdings' Operating Expenses came in at $187.88 million, up 20.4% year-over-year; for FY2024, it came in at $166.72 million, up 15.6% from FY2023.
- Operating Expenses has a four-year compound annual growth rate of 12.8% (FY2020 to FY2024).
- By year, Operating Expenses came in at $144.21 million in FY2023 (-9.3%), $158.96 million in FY2022 (+33.6%), $118.97 million in FY2021 (+15.4%) and $103.13 million in FY2020.
- Five-year quarterly Operating Expenses spans a low of $27.77 million in Q3 2021 and a high of $54.67 million in Q1 2022.
- Year over year, Operating Expenses gained in six of the last eight quarters, with growth averaging 15.8%.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 91.7%); the low point was Q1 2023 (a decline of 35.3%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $49.56 million (Q2 2025), $42.58 million (Q1 2025) and $47.78 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 10.86 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 21.96 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 2.35 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 156.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 12.63 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 756.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 9.78 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.87 Bn |
| 10 | Cadre Holdings | 1.06 Bn | 934.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 47.95 Mn |
| Jun 30, 2025 | 49.56 Mn |
| Mar 31, 2025 | 42.58 Mn |
| Dec 31, 2024 | 47.78 Mn |
| Sep 30, 2024 | 34.59 Mn |
| Jun 30, 2024 | 38.70 Mn |
| Mar 31, 2024 | 45.65 Mn |
| Dec 31, 2023 | 37.08 Mn |
| Sep 30, 2023 | 36.87 Mn |
| Jun 30, 2023 | 34.86 Mn |
| Mar 31, 2023 | 35.40 Mn |
| Dec 31, 2022 | 35.81 Mn |
| Sep 30, 2022 | 33.42 Mn |
| Jun 30, 2022 | 35.06 Mn |
| Mar 31, 2022 | 54.67 Mn |
| Dec 31, 2021 | 29.88 Mn |
| Sep 30, 2021 | 27.77 Mn |
| Jun 30, 2021 | 32.81 Mn |
| Mar 31, 2021 | 28.53 Mn |
| Dec 31, 2020 | 30.50 Mn |
API Access
Cadre Holdings 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=CDRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CDRE", "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=CDRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();