Franklin Templeton (BEN) Change in Accured Expenses (2009 - 2026)
Franklin Templeton (BEN) reported Change in Accured Expenses of $341.9 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.4% from $304.3 million a year earlier and up 85.4% from the prior quarter.
Franklin Templeton (BEN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Franklin Templeton's Change in Accured Expenses came in at $114.8 million; for FY2025 (ended Sep 30, 2025), it came in at -$32.9 million.
- By fiscal year, Change in Accured Expenses came in at $86.5 million in FY2024 (-32.9%), $128.9 million in FY2023 (-54.2%), $281.7 million in FY2022 (+145.4%) and $114.8 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Change in Accured Expenses in data going back to fiscal Q2 2009.
- Year over year, Change in Accured Expenses gained in four of the last six quarters, with an average decline of 0.1%.
- The high point for year-over-year Change in Accured Expenses in five years was fiscal Q4 2021 (growth of 303.4%); the low point was fiscal Q4 2024 (a decline of 43.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $184.4 million (Q2 2026), -$562.3 million (Q1 2026) and $150.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 845.00 Mn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | -244.18 Mn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 834.56 Mn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | -10.40 Mn |
| 10 | Franklin Templeton | 16.66 Bn | 7.14 Bn | - | 341.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 341.90 Mn |
| Mar 31, 2026 | 184.40 Mn |
| Dec 31, 2025 | -562.30 Mn |
| Sep 30, 2025 | 150.80 Mn |
| Jun 30, 2025 | 304.30 Mn |
| Mar 31, 2025 | 166.30 Mn |
| Dec 31, 2024 | -654.30 Mn |
| Sep 30, 2024 | 121.50 Mn |
| Jun 30, 2024 | 281.00 Mn |
| Mar 31, 2024 | 192.00 Mn |
| Dec 31, 2023 | -508.00 Mn |
| Sep 30, 2023 | 213.20 Mn |
| Jun 30, 2023 | 251.80 Mn |
| Mar 31, 2023 | 145.50 Mn |
| Dec 31, 2022 | -481.60 Mn |
| Sep 30, 2022 | 236.60 Mn |
| Jun 30, 2022 | 207.30 Mn |
| Mar 31, 2022 | 110.90 Mn |
| Dec 31, 2021 | -273.10 Mn |
| Sep 30, 2021 | 203.70 Mn |
Franklin Templeton Change in Accured 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=change-in-accured-expenses&ticker=BEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=BEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();