PagerDuty (PD) Interest Expenses (2020 - 2026)
PagerDuty (PD) posted Interest Expenses of $2.11 million for 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.
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Analysis
PagerDuty (PD) Interest Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Interest Expenses at PagerDuty was $8.43 million, down 10.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $8.86 million, down 4.3% from FY2025.
- Annual Interest Expenses shows a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- In prior fiscal years, PagerDuty's 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 Interest Expenses has run from a low of $1.33 million in fiscal Q1 2023 to a high of $2.38 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last five quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was fiscal Q4 2024, with growth of 70.2%; the weakest was fiscal Q4 2022, with a decline of 68.0%.
- According to Business Quant data, Interest Expenses for the three prior fiscal quarters was $2.11 million (Q1 2027), $2.11 million (Q4 2026) and $2.1 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 2.08 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 3.00 Mn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 3.24 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 2.75 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | -90.00 Mn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 924,000.00 |
| 10 | PagerDuty | 1.22 Bn | -692.10 Mn | 104.40 Mn | 2.11 Mn |
Historic Data
Download Data
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 |
API Access
PagerDuty 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=interest-expenses&ticker=PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();