Pitney Bowes (PBI) Non Operating Interest Expenses (2009 - 2024)
Pitney Bowes' Non Operating Interest Expenses came in at $27.77 million for Q1 2024, up 24.3% from $22.34 million a year earlier but down 2.2% from the prior quarter.
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Analysis
Pitney Bowes (PBI) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, Pitney Bowes reported Non Operating Interest Expenses of $105.87 million, up 17.4% year-over-year; for FY2023, it was $100.45 million, up 11.6% from FY2022.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -2.7% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $89.98 million in FY2022 (-7.1%), $96.89 million in FY2021 (-8.4%), $105.75 million in FY2020 (-4.6%) and $110.91 million in FY2019 (-3.9%).
- The five-year range for quarterly Non Operating Interest Expenses is $21.01 million (Q2 2022) to $28.7 million (Q3 2019).
- Year-over-year, Non Operating Interest Expenses has increased for six consecutive quarters, with growth averaging 6.8% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2024 (growth of 24.3%), and the weakest in Q2 2022 (a decline of 13.7%).
- Business Quant data shows PBI's Non Operating Interest Expenses at $28.4 million (Q4 2023), $26.78 million (Q3 2023) and $22.92 million (Q2 2023) in the three quarters before Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Pitney Bowes | 2.24 Bn | 1.01 Bn | 254.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 27.77 Mn |
| Dec 31, 2023 | 28.40 Mn |
| Sep 30, 2023 | 26.78 Mn |
| Jun 30, 2023 | 22.92 Mn |
| Mar 31, 2023 | 22.34 Mn |
| Dec 31, 2022 | 23.16 Mn |
| Sep 30, 2022 | 23.69 Mn |
| Jun 30, 2022 | 21.01 Mn |
| Mar 31, 2022 | 22.12 Mn |
| Dec 31, 2021 | 23.07 Mn |
| Sep 30, 2021 | 24.31 Mn |
| Jun 30, 2021 | 24.35 Mn |
| Mar 31, 2021 | 25.16 Mn |
| Dec 31, 2020 | 26.25 Mn |
| Sep 30, 2020 | 27.18 Mn |
| Jun 30, 2020 | 26.45 Mn |
| Mar 31, 2020 | 25.88 Mn |
| Dec 31, 2019 | 26.59 Mn |
| Sep 30, 2019 | 28.70 Mn |
| Jun 30, 2019 | 28.02 Mn |
API Access
Pitney Bowes Non 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=non-operating-interest-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=PBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();