Transcode Therapeutics (RNAZ) Operating Expenses (2020 - 2026)
Transcode Therapeutics' Operating Expenses came in at $6.79 million for Q2 2026, up 60.8% from $4.22 million a year earlier but down 61.8% from the prior quarter.
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Analysis
Transcode Therapeutics (RNAZ) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Transcode Therapeutics reported Operating Expenses of $45.13 million, up 208.1% year-over-year; for FY2025, it was $27.98 million, up 78.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 107.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $15.66 million in FY2024 (-19.4%), $19.42 million in FY2023 (+4.2%), $18.63 million in FY2022 (+202.9%) and $6.15 million in FY2021 (+746.6%).
- The five-year range for quarterly Operating Expenses is $2.17 million (Q3 2024) to $17.76 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 98.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 885.4%), and the weakest in Q3 2024 (a decline of 59.2%).
- Business Quant data shows RNAZ's Operating Expenses at $17.76 million (Q1 2026), $16.03 million (Q4 2025) and $4.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Transcode Therapeutics | 1.65 Mn | 1.65 Mn | - | 6.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.79 Mn |
| Mar 31, 2026 | 17.76 Mn |
| Dec 31, 2025 | 16.03 Mn |
| Sep 30, 2025 | 4.56 Mn |
| Jun 30, 2025 | 4.22 Mn |
| Mar 31, 2025 | 3.17 Mn |
| Dec 31, 2024 | 5.09 Mn |
| Sep 30, 2024 | 2.17 Mn |
| Jun 30, 2024 | 5.11 Mn |
| Mar 31, 2024 | 3.29 Mn |
| Dec 31, 2023 | 4.10 Mn |
| Sep 30, 2023 | 5.31 Mn |
| Jun 30, 2023 | 5.12 Mn |
| Mar 31, 2023 | 4.89 Mn |
| Dec 31, 2022 | 5.50 Mn |
| Sep 30, 2022 | 4.95 Mn |
| Jun 30, 2022 | 4.71 Mn |
| Mar 31, 2022 | 3.48 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 2.36 Mn |
API Access
Transcode Therapeutics 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=RNAZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RNAZ", "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=RNAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();