Joint (JYNT) Operating Expenses (2013 - 2026)
Joint (JYNT) recorded Operating Expenses of $12.87 million in Q2 2026, up 6.9% from $12.03 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Joint (JYNT) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Joint's Operating Expenses came in at $47.03 million as of Jun 30, 2026, up 4.7% year-over-year; for FY2025, it was $46.18 million, up 5.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $43.87 million in FY2024 (+17.1%), $37.48 million in FY2023 (-19.5%), $46.56 million in FY2022 (-32.0%) and $68.52 million in FY2021 (+42.9%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2022.
- On a year-over-year basis, Operating Expenses has increased for nine consecutive quarters, with growth averaging 13.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 79.1% in Q4 2024, against a decline of 56.9% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.2 million (Q1 2026), $12 million (Q4 2025) and $10.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 93.06 Bn | 92.50 Bn | - | 17.74 Bn |
| 2 | Natera | 59.36 Bn | 55.04 Bn | 485.19 Mn | 828.54 Mn |
| 3 | Quest Diagnostics | 25.72 Bn | 24.15 Bn | 1.03 Bn | 2.58 Bn |
| 4 | Labcorp Holdings | 24.93 Bn | 22.69 Bn | 1.11 Bn | 582.30 Mn |
| 5 | Guardant Health | 23.83 Bn | 19.89 Bn | 219.03 Mn | 464.10 Mn |
| 6 | Tenet Healthcare | 20.58 Bn | 11.72 Bn | - | - |
| 7 | Tempus AI | 14.35 Bn | 11.38 Bn | 246.50 Mn | 458.40 Mn |
| 8 | Encompass Health | 11.99 Bn | 12.46 Bn | - | 1.31 Bn |
| 9 | BrightSpring Health Services | 11.21 Bn | 9.55 Bn | 492.75 Mn | 362.36 Mn |
| 10 | Joint | 105.08 Mn | 8.96 Mn | 12.70 Mn | 12.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.87 Mn |
| Mar 31, 2026 | 11.20 Mn |
| Dec 31, 2025 | 12.00 Mn |
| Sep 30, 2025 | 10.96 Mn |
| Jun 30, 2025 | 12.03 Mn |
| Mar 31, 2025 | 11.18 Mn |
| Dec 31, 2024 | 11.06 Mn |
| Sep 30, 2024 | 10.63 Mn |
| Jun 30, 2024 | 11.88 Mn |
| Mar 31, 2024 | 10.21 Mn |
| Dec 31, 2023 | 6.17 Mn |
| Sep 30, 2023 | 10.40 Mn |
| Jun 30, 2023 | 10.73 Mn |
| Mar 31, 2023 | 10.24 Mn |
| Dec 31, 2022 | -23.45 Mn |
| Sep 30, 2022 | 24.16 Mn |
| Jun 30, 2022 | 24.81 Mn |
| Mar 31, 2022 | 21.04 Mn |
| Dec 31, 2021 | 19.97 Mn |
| Sep 30, 2021 | 17.53 Mn |
API Access
Joint 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=JYNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "JYNT", "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=JYNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();