Financial Institutions (FISI) Provision for Losses (2010 - 2024)
Financial Institutions (FISI) recorded Provision for Losses of $2.04 million in Q2 2024, down 36.8% from $3.23 million a year earlier.
Powered by 
Analysis
Financial Institutions (FISI) Provision for Losses (2010 - 2024) Analysis & Trends
On a TTM basis, Financial Institutions' Provision for Losses came in at $2.82 million as of Jun 30, 2024, down 84.2% year-over-year; for FY2023, it was $13.68 million, up 2.8% from FY2022.
- Annual Provision for Losses has a five-year compound annual growth rate of 8.9% (FY2018 to FY2023).
- Across earlier years, Provision for Losses came in at $13.31 million in FY2022, -$8.34 million in FY2021, $27.18 million in FY2020 (+237.9%) and $8.04 million in FY2019 (-10.0%).
- Quarterly Provision for Losses has ranged from -$5.46 million in Q1 2024 to $13.92 million in Q1 2020 over the past five years.
- On a year-over-year basis, Provision for Losses rose in two of the last five quarters, with growth averaging 85.4%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 473.7% in Q2 2023, against a decline of 77.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -$5.46 million (Q1 2024), $5.27 million (Q4 2023) and $966,000 (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Financial Institutions | 832.86 Mn | 353.54 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 2.04 Mn |
| Mar 31, 2024 | -5.46 Mn |
| Dec 31, 2023 | 5.27 Mn |
| Sep 30, 2023 | 966,000.00 |
| Jun 30, 2023 | 3.23 Mn |
| Mar 31, 2023 | 4.21 Mn |
| Dec 31, 2022 | 6.12 Mn |
| Sep 30, 2022 | 4.31 Mn |
| Jun 30, 2022 | 563,000.00 |
| Mar 31, 2022 | 2.32 Mn |
| Dec 31, 2021 | -1.19 Mn |
| Sep 30, 2021 | -541,000.00 |
| Jun 30, 2021 | -4.62 Mn |
| Mar 31, 2021 | -1.98 Mn |
| Dec 31, 2020 | 5.50 Mn |
| Sep 30, 2020 | 4.03 Mn |
| Jun 30, 2020 | 3.75 Mn |
| Mar 31, 2020 | 13.92 Mn |
| Dec 31, 2019 | 2.65 Mn |
| Sep 30, 2019 | 1.84 Mn |
API Access
Financial Institutions Provision for Losses 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=provision-for-losses&ticker=FISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "FISI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=FISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();