PagerDuty (PD) Non Operating Interest Expenses (2020 - 2026)
PagerDuty's Non Operating Interest Expenses was $2.11 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 7.6% from $2.29 million a year earlier but up 0.3% from the prior quarter.
PagerDuty (PD) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, PagerDuty's Non Operating Interest Expenses was $8.43 million through Jul 31, 2026, down 10.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $8.86 million, down 4.3% from FY2025.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- In earlier fiscal years, Non Operating Interest Expenses was $9.26 million in FY2025 (+42.4%), $6.5 million in FY2024 (+19.6%), $5.43 million in FY2023 (+0.6%) and $5.4 million in FY2022 (-45.8%).
- Quarterly Non Operating Interest Expenses has moved between $1.33 million (fiscal Q1 2023) and $2.38 million (fiscal Q3 2025) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has declined for five straight quarters, with growth averaging 3.9% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was fiscal Q4 2024 (growth of 70.2%); the worst was fiscal Q4 2022 (a decline of 68.0%).
- Per Business Quant data, PD's Non Operating Interest Expenses in the three fiscal quarters before Q2 2027 was $2.11 million (Q1 2027), $2.11 million (Q4 2026) and $2.1 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | PagerDuty | 1.19 Bn | -729.06 Mn | 104.40 Mn | 2.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.11 Mn |
| Apr 30, 2026 | 2.11 Mn |
| Jan 31, 2026 | 2.11 Mn |
| Oct 31, 2025 | 2.10 Mn |
| Jul 31, 2025 | 2.29 Mn |
| Apr 30, 2025 | 2.36 Mn |
| Jan 31, 2025 | 2.37 Mn |
| Oct 31, 2024 | 2.38 Mn |
| Jul 31, 2024 | 2.36 Mn |
| Apr 30, 2024 | 2.15 Mn |
| Jan 31, 2024 | 2.32 Mn |
| Oct 31, 2023 | 1.45 Mn |
| Jul 31, 2023 | 1.40 Mn |
| Apr 30, 2023 | 1.33 Mn |
| Jan 31, 2023 | 1.36 Mn |
| Oct 31, 2022 | 1.36 Mn |
| Jul 31, 2022 | 1.39 Mn |
| Apr 30, 2022 | 1.33 Mn |
| Jan 31, 2022 | 1.35 Mn |
| Oct 31, 2021 | 1.35 Mn |
PagerDuty 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=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PD", "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=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();