Exagen (XGN) Operating Expenses (2018 - 2026)
Exagen's Operating Expenses was $13.94 million in Q2 2026, up 7.0% from $13.03 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Exagen (XGN) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Exagen's Operating Expenses was $54.91 million through Jun 30, 2026, up 12.0% year-over-year; for FY2025, it was $52.87 million, up 13.1% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $46.75 million in FY2024 (-10.6%), $52.29 million in FY2023 (-42.9%), $91.61 million in FY2022 (+26.6%) and $72.37 million in FY2021 (+26.6%).
- Quarterly Operating Expenses has moved between -$4.18 million (Q4 2023) and $27.33 million (Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 4.5% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 44.3%); the worst was Q2 2024 (a decline of 38.9%).
- Per Business Quant data, XGN's Operating Expenses in the three quarters before Q2 2026 was $13.62 million (Q1 2026), $14.18 million (Q4 2025) and $13.18 million (Q3 2025).
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 | Exagen | 205.16 Mn | 91.12 Mn | 12.22 Mn | 13.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.94 Mn |
| Mar 31, 2026 | 13.62 Mn |
| Dec 31, 2025 | 14.18 Mn |
| Sep 30, 2025 | 13.18 Mn |
| Jun 30, 2025 | 13.03 Mn |
| Mar 31, 2025 | 12.49 Mn |
| Dec 31, 2024 | 11.86 Mn |
| Sep 30, 2024 | 11.64 Mn |
| Jun 30, 2024 | 11.64 Mn |
| Mar 31, 2024 | 11.60 Mn |
| Dec 31, 2023 | -4.18 Mn |
| Sep 30, 2023 | 18.49 Mn |
| Jun 30, 2023 | 19.05 Mn |
| Mar 31, 2023 | 18.94 Mn |
| Dec 31, 2022 | 27.33 Mn |
| Sep 30, 2022 | 22.54 Mn |
| Jun 30, 2022 | 21.67 Mn |
| Mar 31, 2022 | 20.07 Mn |
| Dec 31, 2021 | 18.94 Mn |
| Sep 30, 2021 | 18.76 Mn |
API Access
Exagen 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=XGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XGN", "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=XGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();