Cardiff Lexington (CDIX) Operating Expenses (2010 - 2025)
Cardiff Lexington (CDIX) recorded Operating Expenses of $1.27 million in Q3 2025, up 34.7% from $940,200 a year earlier and up 16.6% from the prior quarter.
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Analysis
Cardiff Lexington (CDIX) Operating Expenses (2010 - 2025) Analysis & Trends
On a TTM basis, Cardiff Lexington's Operating Expenses came in at $5.34 million as of Sep 30, 2025, up 36.0% year-over-year; for FY2024, it was $4.62 million, up 49.2% from FY2023.
- Annual Operating Expenses has a five-year compound annual growth rate of 6.9% (FY2019 to FY2024).
- Across earlier years, Operating Expenses came in at $3.1 million in FY2023 (+13.6%), $2.73 million in FY2022 (-38.7%), $4.45 million in FY2021 (+23.9%) and $3.59 million in FY2020 (+8.3%).
- Quarterly Operating Expenses has ranged from -$1.44 million in Q4 2021 to $3.89 million in Q2 2021 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for seven consecutive quarters, with growth averaging 40.3% over the last seven quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 461.6% in Q2 2021, against a decline of 77.6% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.09 million (Q2 2025), $1.3 million (Q1 2025) and $1.69 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 94.29 Bn | 93.74 Bn | - | 17.74 Bn |
| 2 | Natera | 59.14 Bn | 54.82 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 26.23 Bn | 24.66 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 25.04 Bn | 22.81 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.69 Bn | 19.76 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.77 Bn | 11.92 Bn | - | - |
| 7 | Tempus AI | 14.91 Bn | 11.94 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 12.24 Bn | 12.70 Bn | - | 1.31 Bn |
| 9 | Davita | 11.39 Bn | 10.15 Bn | 1.16 Bn | 2.98 Bn |
| 10 | Cardiff Lexington | 8.36 Mn | 11.80 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.27 Mn |
| Jun 30, 2025 | 1.09 Mn |
| Mar 31, 2025 | 1.30 Mn |
| Dec 31, 2024 | 1.69 Mn |
| Sep 30, 2024 | 940,200.00 |
| Jun 30, 2024 | 838,116.00 |
| Mar 31, 2024 | 1.15 Mn |
| Dec 31, 2023 | 990,621.00 |
| Sep 30, 2023 | 581,042.00 |
| Jun 30, 2023 | 533,378.00 |
| Mar 31, 2023 | 992,556.00 |
| Dec 31, 2022 | 83,421.00 |
| Sep 30, 2022 | 690,809.00 |
| Jun 30, 2022 | 871,996.00 |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | -1.44 Mn |
| Sep 30, 2021 | 1.16 Mn |
| Jun 30, 2021 | 3.89 Mn |
| Mar 31, 2021 | 815,818.00 |
| Dec 31, 2020 | 1.35 Mn |
API Access
Cardiff Lexington 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=CDIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CDIX", "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=CDIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();