Wex (WEX) Operating Interest Expenses (2009 - 2023)
Wex (WEX) reported Operating Interest Expenses of $58.7 million for Q4 2023, up 35.9% from $43.2 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Wex (WEX) Operating Interest Expenses (2009 - 2023) Analysis & Trends
For FY2023, Wex posted Operating Interest Expenses of $217.8 million, up 56.6% from FY2022.
- Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 41.5% (FY2018 to FY2023).
- By year, Operating Interest Expenses came in at $139.1 million in FY2022 (+34.4%), $103.5 million in FY2021 (+334.7%), $23.81 million in FY2020 (-43.2%) and $41.92 million in FY2019 (+9.1%).
- The Q4 2023 figure ranks as the highest quarterly Operating Interest Expenses since Q4 2021.
- Year over year, Operating Interest Expenses has now increased in each of the last four quarters, with growth averaging 35.8% over the last five quarters.
- The high point for year-over-year Operating Interest Expenses in five years was Q2 2023 (growth of 70.1%); the low point was Q1 2021 (a decline of 68.7%).
- Per Business Quant data, the three quarters before Q4 2023 came in at $54.8 million (Q3 2023), $54.1 million (Q2 2023) and $50.2 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn | - |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - | - |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - | - |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn | - |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - | - |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn | - |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn | - |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn | - |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn | - |
| 10 | Wex | 6.19 Bn | -15.83 Bn | 492.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 58.70 Mn |
| Sep 30, 2023 | 54.80 Mn |
| Jun 30, 2023 | 54.10 Mn |
| Mar 31, 2023 | 50.20 Mn |
| Dec 31, 2022 | 43.20 Mn |
| Sep 30, 2022 | 34.40 Mn |
| Jun 30, 2022 | 31.80 Mn |
| Mar 31, 2022 | 29.70 Mn |
| Dec 31, 2021 | 96.48 Mn |
| Sep 30, 2021 | 2.12 Mn |
| Jun 30, 2021 | 2.27 Mn |
| Mar 31, 2021 | 2.62 Mn |
| Dec 31, 2020 | 3.66 Mn |
| Sep 30, 2020 | 5.26 Mn |
| Jun 30, 2020 | 6.50 Mn |
| Mar 31, 2020 | 8.39 Mn |
| Dec 31, 2019 | 10.15 Mn |
| Sep 30, 2019 | 11.51 Mn |
| Jun 30, 2019 | 10.69 Mn |
| Mar 31, 2019 | 9.56 Mn |
API Access
Wex Operating Interest 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=operating-interest-expenses&ticker=WEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "WEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=WEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();