Spire Global (SPIR) Change in Accured Expenses (2020 - 2025)
Spire Global (SPIR) posted Change in Accured Expenses of $2.61 million for Q4 2025, down 49.6% from $5.18 million a year earlier.
Analysis
Spire Global (SPIR) Change in Accured Expenses (2020 - 2025) Analysis & Trends
For FY2025, Spire Global's Change in Accured Expenses came in at $5.12 million, down 36.6% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 39.0% (FY2020 to FY2025).
- In prior years, Spire Global's Change in Accured Expenses was $8.07 million in FY2024, -$2.75 million in FY2023, $1.1 million in FY2022 (-62.2%) and $2.92 million in FY2021 (+195.5%).
- Quarterly Change in Accured Expenses has run from a low of -$4 million in Q4 2023 to a high of $5.18 million in Q4 2024 over five years.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.59 million (Q3 2025), $272,000 (Q2 2025) and $3.83 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 274.70 Bn | 259.77 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 245.66 Bn | 226.06 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 131.88 Bn | 117.81 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 112.83 Bn | 100.14 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 93.18 Bn | 74.82 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 36.13 Bn | 26.22 Bn | 641.00 Mn | 38.00 Mn |
| 7 | Zscaler | 35.01 Bn | 21.13 Bn | - | - |
| 8 | Axon Enterprise | 32.21 Bn | 26.73 Bn | 546.45 Mn | 256.58 Mn |
| 9 | MongoDB | 28.40 Bn | 18.87 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Spire Global | 348.15 Mn | -39.67 Mn | 6.16 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.61 Mn |
| Sep 30, 2025 | -1.59 Mn |
| Jun 30, 2025 | 272,000.00 |
| Mar 31, 2025 | 3.83 Mn |
| Dec 31, 2024 | 5.18 Mn |
| Sep 30, 2024 | 2.62 Mn |
| Jun 30, 2024 | -728,000.00 |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | -4.00 Mn |
| Sep 30, 2023 | 836,000.00 |
| Jun 30, 2023 | 1.33 Mn |
| Mar 31, 2023 | -920,000.00 |
| Dec 31, 2022 | -533,000.00 |
| Sep 30, 2022 | -192,000.00 |
| Jun 30, 2022 | 751,000.00 |
| Mar 31, 2022 | 1.08 Mn |
| Dec 31, 2021 | 1.38 Mn |
| Sep 30, 2021 | 1.08 Mn |
| Jun 30, 2021 | -1.20 Mn |
| Mar 31, 2021 | 1.66 Mn |
API Access
Spire Global Change in Accured 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=change-in-accured-expenses&ticker=SPIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SPIR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=SPIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();