Maiden Holdings, Ltd. (MHLA) Accumulated Expenses (2010 - 2025)
Maiden Holdings (MHLA) reported Accumulated Expenses of $51.82 million for Q1 2025, up 68.4% from $30.77 million a year earlier but down 33.5% from the prior quarter.
Maiden Holdings, Ltd. (MHLA) Accumulated Expenses (2010 - 2025) Analysis & Trends
At the end of FY2024, Maiden Holdings posted Accumulated Expenses of $77.97 million, up 176.0% from FY2023.
- Accumulated Expenses has a five-year compound annual growth rate of 19.2% (FY2019 to FY2024).
- By year, Accumulated Expenses came in at $28.24 million in FY2023 (-53.3%), $60.52 million in FY2022 (+35.9%), $44.54 million in FY2021 (-16.0%) and $53 million in FY2020 (+63.4%).
- Five-year quarterly Accumulated Expenses spans a low of $17.8 million in Q2 2020 and a high of $150.57 million in Q2 2022.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 11.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2020 (growth of 262.6%); the low point was Q2 2023 (a decline of 83.3%).
- Per Business Quant data, the three quarters before Q1 2025 came in at $77.97 million (Q4 2024), $73.99 million (Q3 2024) and $26.08 million (Q2 2024).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 51.82 Mn |
| Dec 31, 2024 | 77.97 Mn |
| Sep 30, 2024 | 73.99 Mn |
| Jun 30, 2024 | 26.08 Mn |
| Mar 31, 2024 | 30.77 Mn |
| Dec 31, 2023 | 28.24 Mn |
| Sep 30, 2023 | 38.66 Mn |
| Jun 30, 2023 | 25.20 Mn |
| Mar 31, 2023 | 50.98 Mn |
| Dec 31, 2022 | 60.52 Mn |
| Sep 30, 2022 | 147.59 Mn |
| Jun 30, 2022 | 150.57 Mn |
| Mar 31, 2022 | 65.20 Mn |
| Dec 31, 2021 | 44.54 Mn |
| Sep 30, 2021 | 72.42 Mn |
| Jun 30, 2021 | 59.83 Mn |
| Mar 31, 2021 | 41.22 Mn |
| Dec 31, 2020 | 53.00 Mn |
| Sep 30, 2020 | 45.03 Mn |
| Jun 30, 2020 | 17.80 Mn |
Maiden Holdings, Ltd. 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=MHLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MHLA", "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=MHLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();