Renalytix (RNLXY) Operating Expenses (2020 - 2024)
Renalytix (RNLXY) posted Operating Expenses of $4.19 million for fiscal Q1 2025 (quarter ended Sep 30, 2024), down 52.6% from $8.85 million a year earlier and down 24.6% from the prior quarter.
Renalytix (RNLXY) Operating Expenses (2020 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2024, Operating Expenses at Renalytix was $25.11 million, down 36.9% year-over-year; for FY2024 (ended Jun 30, 2024), it was $29.76 million, down 30.7% from FY2023.
- Annual Operating Expenses shows a five-year compound annual growth rate of -6.8% (FY2019 to FY2024).
- In prior fiscal years, Renalytix's Operating Expenses was $42.94 million in FY2023 (-20.6%), $54.06 million in FY2022 (+66.1%), $32.55 million in FY2021 (+215.6%) and $10.32 million in FY2020 (-75.6%).
- The fiscal Q1 2025 figure stands as the lowest quarterly Operating Expenses in data going back to fiscal Q2 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last nine quarters, with an average decline of 31.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2022, with growth of 72.1%; the weakest was fiscal Q1 2025, with a decline of 52.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $5.56 million (Q4 2024), $6.49 million (Q3 2024) and $8.87 million (Q2 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 4.19 Mn |
| Jun 30, 2024 | 5.56 Mn |
| Mar 31, 2024 | 6.49 Mn |
| Dec 31, 2023 | 8.87 Mn |
| Sep 30, 2023 | 8.85 Mn |
| Jun 30, 2023 | 9.78 Mn |
| Mar 31, 2023 | 11.04 Mn |
| Dec 31, 2022 | 10.13 Mn |
| Sep 30, 2022 | 12.00 Mn |
| Jun 30, 2022 | 13.19 Mn |
| Mar 31, 2022 | 14.66 Mn |
| Dec 31, 2021 | 14.14 Mn |
| Sep 30, 2021 | 12.07 Mn |
| Jun 30, 2021 | 9.87 Mn |
| Mar 31, 2021 | 8.52 Mn |
| Dec 31, 2020 | 8.76 Mn |
Renalytix 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=RNLXY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RNLXY", "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=RNLXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();