Spar (SGRP) Short-Term Debt repayments (2020 - 2026)
Spar (SGRP) posted Short-Term Debt repayments of $33.75 million for Q2 2026, up 1.3% from $33.33 million a year earlier and up 16.4% from the prior quarter.
Spar (SGRP) Short-Term Debt repayments (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Short-Term Debt repayments at Spar was $132.69 million, up 6.2% year-over-year; for FY2025, it was $130.54 million, up 1.7% from FY2024.
- Annual Short-Term Debt repayments has increased for three consecutive years, with a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- In prior years, Spar's Short-Term Debt repayments was $128.35 million in FY2024 (+22.4%), $104.85 million in FY2023 (+308.8%), $25.65 million in FY2022 (-66.0%) and $75.45 million in FY2021 (+23.8%).
- Quarterly Short-Term Debt repayments has run from a low of $1.74 million in Q4 2022 to a high of $42.77 million in Q3 2025 over five years.
- On a year-over-year basis, Short-Term Debt repayments increased in six of the last eight quarters, with growth averaging 7.0%.
- The strongest year-over-year quarter for Short-Term Debt repayments in the past five years was Q3 2023, with growth of 212.1%; the weakest was Q4 2022, with a decline of 92.1%.
- According to Business Quant data, Short-Term Debt repayments for the three prior quarters was $28.99 million (Q1 2026), $27.19 million (Q4 2025) and $42.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | - |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | - |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | - |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | - |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | - |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | - |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | - |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Spar | 17.04 Mn | -1.69 Mn | 8.41 Mn | 33.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.75 Mn |
| Mar 31, 2026 | 28.99 Mn |
| Dec 31, 2025 | 27.19 Mn |
| Sep 30, 2025 | 42.77 Mn |
| Jun 30, 2025 | 33.33 Mn |
| Mar 31, 2025 | 27.26 Mn |
| Dec 31, 2024 | 30.57 Mn |
| Sep 30, 2024 | 33.74 Mn |
| Jun 30, 2024 | 40.39 Mn |
| Mar 31, 2024 | 23.66 Mn |
| Dec 31, 2023 | 25.33 Mn |
| Sep 30, 2023 | 29.52 Mn |
| Jun 30, 2023 | 23.43 Mn |
| Mar 31, 2023 | 26.58 Mn |
| Dec 31, 2022 | 1.74 Mn |
| Sep 30, 2022 | 9.46 Mn |
| Mar 31, 2022 | 14.45 Mn |
| Dec 31, 2021 | 21.94 Mn |
| Sep 30, 2021 | 20.31 Mn |
| Jun 30, 2021 | 21.14 Mn |
Spar Short-Term Debt repayments 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=short-term-debt-repayments&ticker=SGRP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "SGRP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();