Metalert, Inc. (MLRT) Accumulated Expenses (2015 - 2025)
Metalert (MLRT) posted Accumulated Expenses of $1.47 million for Q2 2025, up 20.9% from $1.22 million a year earlier and up 4.1% from the prior quarter.
Metalert, Inc. (MLRT) Accumulated Expenses (2015 - 2025) Analysis & Trends
At the end of FY2024, Metalert's Accumulated Expenses came in at $1.35 million, up 310.9% from FY2023.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 25.0% (FY2019 to FY2024).
- In prior years, Metalert's Accumulated Expenses was $327,338 in FY2023 (-15.7%), $388,414 in FY2022 (+30.1%), $298,662 in FY2021 (-8.7%) and $327,293 in FY2020 (-25.8%).
- The Q2 2025 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2015.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 272.8% over the last six quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2025, with growth of 946.0%; the weakest was Q1 2024, with a decline of 62.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.41 million (Q1 2025), $1.35 million (Q4 2024) and $1.28 million (Q3 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1.47 Mn |
| Mar 31, 2025 | 1.41 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 1.28 Mn |
| Jun 30, 2024 | 1.22 Mn |
| Mar 31, 2024 | 135,074.00 |
| Dec 31, 2023 | 327,338.00 |
| Jun 30, 2023 | 226,371.00 |
| Mar 31, 2023 | 360,593.00 |
| Dec 31, 2022 | 388,414.00 |
| Sep 30, 2022 | 334,106.00 |
| Jun 30, 2022 | 345,814.00 |
| Mar 31, 2022 | 310,363.00 |
| Dec 31, 2021 | 298,662.00 |
| Sep 30, 2021 | 286,925.00 |
| Jun 30, 2021 | 271,600.00 |
| Mar 31, 2021 | 291,926.00 |
| Dec 31, 2020 | 327,293.00 |
| Sep 30, 2020 | 314,560.00 |
| Mar 31, 2020 | 420,996.00 |
Metalert, Inc. 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=MLRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MLRT", "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=MLRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();