Rythm (RYM) Operating Expenses (2020 - 2026)
Rythm's Operating Expenses was $16.6 million in Q2 2026, up 121.9% from $7.48 million a year earlier and up 15.0% from the prior quarter.
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Analysis
Rythm (RYM) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rythm's Operating Expenses was $62.29 million through Jun 30, 2026, up 292.3% year-over-year; for FY2025, it came in at $42.53 million, up 750.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 26.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $5 million in FY2024 (-70.6%), $17.04 million in FY2023 (-89.4%), $161.53 million in FY2022 (+300.8%) and $40.31 million in FY2021 (+205.7%).
- Quarterly Operating Expenses has moved between -$3.03 million (Q4 2023) and $93.15 million (Q2 2022) over five years.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 393.7% over the last six quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2025 (growth of 776.9%); the worst was Q2 2023 (a decline of 93.6%).
- Per Business Quant data, RYM's Operating Expenses in the three quarters before Q2 2026 was $14.43 million (Q1 2026), $20.99 million (Q4 2025) and $10.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 165.69 Mn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | -33.52 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Rythm | 46.08 Mn | -96.89 Mn | 18.54 Mn | 16.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.60 Mn |
| Mar 31, 2026 | 14.43 Mn |
| Dec 31, 2025 | 20.99 Mn |
| Sep 30, 2025 | 10.26 Mn |
| Jun 30, 2025 | 7.48 Mn |
| Mar 31, 2025 | 3.79 Mn |
| Dec 31, 2024 | 3.39 Mn |
| Sep 30, 2024 | 1.22 Mn |
| Jun 30, 2024 | 853,000.00 |
| Mar 31, 2024 | -353,000.00 |
| Dec 31, 2023 | -3.03 Mn |
| Sep 30, 2023 | 5.55 Mn |
| Jun 30, 2023 | 5.94 Mn |
| Mar 31, 2023 | 8.57 Mn |
| Dec 31, 2022 | 27.02 Mn |
| Sep 30, 2022 | 27.43 Mn |
| Jun 30, 2022 | 93.15 Mn |
| Mar 31, 2022 | 13.93 Mn |
| Dec 31, 2021 | 18.97 Mn |
| Sep 30, 2021 | 9.42 Mn |
API Access
Rythm 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=RYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RYM", "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=RYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();