Man Ahl Diversified I Lp (MADL) Wages, Salaries and Other (2010 - 2025)
Analysis
Man Ahl Diversified I Lp (MADL) Wages, Salaries and Other (2010 - 2025) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 447,494.00 |
| Jun 30, 2025 | 440,098.00 |
| Mar 31, 2025 | 528,374.00 |
| Dec 31, 2024 | 562,386.00 |
| Sep 30, 2024 | 606,368.00 |
| Jun 30, 2024 | 704,295.00 |
| Mar 31, 2024 | 659,149.00 |
| Dec 31, 2023 | 660,141.00 |
| Sep 30, 2023 | 684,770.00 |
| Jun 30, 2023 | 711,327.00 |
| Mar 31, 2023 | 708,229.00 |
| Dec 31, 2022 | 735,769.00 |
| Sep 30, 2022 | 745,739.00 |
| Jun 30, 2022 | 760,938.00 |
| Mar 31, 2022 | 682,615.00 |
| Dec 31, 2021 | 675,921.00 |
| Sep 30, 2021 | 709,176.00 |
| Jun 30, 2021 | 709,759.00 |
| Mar 31, 2021 | 646,584.00 |
| Dec 31, 2020 | 607,085.00 |
API Access
Man Ahl Diversified I Lp Wages, Salaries and Other 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=wages-salaries-and-other&ticker=MADL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "ticker": "MADL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=wages-salaries-and-other&ticker=MADL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();