Renalytix (RNLXY) Accumulated Expenses (2018 - 2024)
Renalytix's Accumulated Expenses came in at $2.16 million for fiscal Q1 2025 (quarter ended Sep 30, 2024), down 52.7% from $4.57 million a year earlier and down 35.5% from the prior quarter.
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Analysis
Renalytix (RNLXY) Accumulated Expenses (2018 - 2024) Analysis & Trends
At the end of FY2024 (ended Jun 30, 2024), Renalytix's Accumulated Expenses was $3.35 million, down 49.5% from FY2023.
- Accumulated Expenses carries a five-year compound annual growth rate of 32.2% (FY2019 to FY2024).
- Going back by fiscal year, Accumulated Expenses was $6.64 million in FY2023 (+117.1%), $3.06 million in FY2022 (-33.5%), $4.6 million in FY2021 (+573.8%) and $683,000 in FY2020 (-17.9%).
- The fiscal Q1 2025 figure represents the lowest quarterly Accumulated Expenses since fiscal Q4 2020.
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2021 (growth of 573.8%), and the weakest in fiscal Q1 2025 (a decline of 52.7%).
- Business Quant data shows RNLXY's Accumulated Expenses at $3.35 million (Q4 2024), $4.27 million (Q3 2024) and $4.26 million (Q2 2024) in the three fiscal quarters before Q1 2025.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 2.16 Mn |
| Jun 30, 2024 | 3.35 Mn |
| Mar 31, 2024 | 4.27 Mn |
| Dec 31, 2023 | 4.26 Mn |
| Sep 30, 2023 | 4.57 Mn |
| Jun 30, 2023 | 6.64 Mn |
| Mar 31, 2023 | 5.87 Mn |
| Dec 31, 2022 | 4.49 Mn |
| Sep 30, 2022 | 2.87 Mn |
| Jun 30, 2022 | 3.06 Mn |
| Mar 31, 2022 | 6.69 Mn |
| Dec 31, 2021 | 4.53 Mn |
| Jun 30, 2021 | 4.60 Mn |
| Jun 30, 2020 | 683,000.00 |
| Jun 30, 2019 | 832,000.00 |
| Jun 30, 2018 | 169,000.00 |
API Access
Renalytix Accumulated 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=accumulated-expenses&ticker=RNLXY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RNLXY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();