First Horizon (FHN) Change in Accured Expenses (2009 - 2020)
First Horizon (FHN) recorded Change in Accured Expenses of -$968,000 in Q2 2020, compared with -$4.14 million a year earlier.
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Analysis
First Horizon (FHN) Change in Accured Expenses (2009 - 2020) Analysis & Trends
On a TTM basis, First Horizon's Change in Accured Expenses came in at -$21.95 million as of Jun 30, 2020; for FY2019, it was $339,000, down 97.8% from FY2018.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 14.9% (FY2014 to FY2019).
- Across earlier years, Change in Accured Expenses came in at $15.17 million in FY2018 (+155.6%), $5.93 million in FY2017, -$4.54 million in FY2016 and -$9.12 million in FY2015.
- Quarterly Change in Accured Expenses has ranged from -$15.6 million in Q4 2019 to $16.57 million in Q1 2019 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 69.7% in Q3 2018, against a decline of 72.7% in Q3 2019 at the low end.
- Per Business Quant, the preceding three quarters came in at -$8.88 million (Q1 2020), -$15.6 million (Q4 2019) and $3.5 million (Q3 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 14.35 Bn |
| 10 | First Horizon | 11.09 Bn | 4.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | -968,000.00 |
| Mar 31, 2020 | -8.88 Mn |
| Dec 31, 2019 | -15.60 Mn |
| Sep 30, 2019 | 3.50 Mn |
| Jun 30, 2019 | -4.14 Mn |
| Mar 31, 2019 | 16.57 Mn |
| Dec 31, 2018 | -1.45 Mn |
| Sep 30, 2018 | 12.84 Mn |
| Jun 30, 2018 | -6.26 Mn |
| Mar 31, 2018 | 10.03 Mn |
| Dec 31, 2017 | -2.94 Mn |
| Sep 30, 2017 | 7.57 Mn |
| Jun 30, 2017 | -6.06 Mn |
| Mar 31, 2017 | 7.36 Mn |
| Dec 31, 2016 | -5.04 Mn |
| Sep 30, 2016 | 5.53 Mn |
| Jun 30, 2016 | -15.23 Mn |
| Mar 31, 2016 | 10.21 Mn |
| Dec 31, 2015 | -10.49 Mn |
| Sep 30, 2015 | 8.98 Mn |
API Access
First Horizon 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=FHN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FHN", "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=FHN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();